Happy New Year


Simon Brown
 

Hi All,

 

Over here it’s 2022 so a very happy new year to you all. I’ve updated the current V3.1 beta and am now spending January designing a CW Decoder harness which I hope will help me develop a good CW Decoder, so for January and possibly February you’ll not be hearing much from me 😊 .

 

Be good in 2022,

 

Simon Brown, G4ELI

https://www.sdr-radio.com

 


--
- + - + -
Please use https://forum.sdr-radio.com:4499/ when posting questions or problems.


Larry Dodd
 

Simon. All,
Happy 2022 to all. May good SDR things happen this year. Good luck Simon on the CW decoder. It’s much needed. 
Larry K4LED 

On Jan 1, 2022, at 9:02 AM, Simon Brown <simon@...> wrote:



Hi All,

 

Over here it’s 2022 so a very happy new year to you all. I’ve updated the current V3.1 beta and am now spending January designing a CW Decoder harness which I hope will help me develop a good CW Decoder, so for January and possibly February you’ll not be hearing much from me 😊 .

 

Be good in 2022,

 

Simon Brown, G4ELI

https://www.sdr-radio.com

 


--
- + - + -
Please use https://forum.sdr-radio.com:4499/ when posting questions or problems.


Simon Brown
 

Hi,

 

I’ve often said that a computer can decode better than the human brain, now I’m trying to prove it. ‘I may be some time…’

 

Simon Brown, G4ELI

https://www.sdr-radio.com

 

From: main@SDR-Radio.groups.io <main@SDR-Radio.groups.io> On Behalf Of Larry Dodd
Sent: 01 January 2022 15:13
To: main@sdr-radio.groups.io
Cc: SDR-Radio@groups.io
Subject: Re: [SDR-Radio] Happy New Year

 

Simon. All,

Happy 2022 to all. May good SDR things happen this year. Good luck Simon on the CW decoder. It’s much needed. 

Larry K4LED 



On Jan 1, 2022, at 9:02 AM, Simon Brown <simon@...> wrote:



Hi All,

 

Over here it’s 2022 so a very happy new year to you all. I’ve updated the current V3.1 beta and am now spending January designing a CW Decoder harness which I hope will help me develop a good CW Decoder, so for January and possibly February you’ll not be hearing much from me 😊 .

 

Be good in 2022,

 

Simon Brown, G4ELI

https://www.sdr-radio.com

 


--

- + - + -

Please use https://forum.sdr-radio.com:4499/ when posting questions or problems.


--
- + - + -
Please use https://forum.sdr-radio.com:4499/ when posting questions or problems.


Roger Need
 

Simon,

Take a look at CW Skimmer.  The algorithm is one of the best for decoding hand sent CW...

Roger


Simon Brown
 

I already support CW Skimmer but want to see how well I can write a CW decoder.

 

Simon Brown, G4ELI

https://www.sdr-radio.com

 

From: main@SDR-Radio.groups.io <main@SDR-Radio.groups.io> On Behalf Of Roger Need via groups.io
Sent: 01 January 2022 17:23
To: main@SDR-Radio.groups.io
Subject: Re: [SDR-Radio] Happy New Year

 

Simon,

Take a look at CW Skimmer.  The algorithm is one of the best for decoding hand sent CW...

Roger


--
- + - + -
Please use https://forum.sdr-radio.com:4499/ when posting questions or problems.


Larry Dodd
 

Simon
You will do a great job. Solving the unsteady CW hand issue will be interesting. Even some machine produced CW will be a challenge to decode. Looking forward to your work on it in a few months from now. Computers are amazing but programmers even more amazing. Ha!
Larry K4LED 

On Jan 1, 2022, at 11:35 AM, Simon Brown <simon@...> wrote:



Hi,

 

I’ve often said that a computer can decode better than the human brain, now I’m trying to prove it. ‘I may be some time…’

 

Simon Brown, G4ELI

https://www.sdr-radio.com

 

From: main@SDR-Radio.groups.io <main@SDR-Radio.groups.io> On Behalf Of Larry Dodd
Sent: 01 January 2022 15:13
To: main@sdr-radio.groups.io
Cc: SDR-Radio@groups.io
Subject: Re: [SDR-Radio] Happy New Year

 

Simon. All,

Happy 2022 to all. May good SDR things happen this year. Good luck Simon on the CW decoder. It’s much needed. 

Larry K4LED 



On Jan 1, 2022, at 9:02 AM, Simon Brown <simon@...> wrote:



Hi All,

 

Over here it’s 2022 so a very happy new year to you all. I’ve updated the current V3.1 beta and am now spending January designing a CW Decoder harness which I hope will help me develop a good CW Decoder, so for January and possibly February you’ll not be hearing much from me 😊 .

 

Be good in 2022,

 

Simon Brown, G4ELI

https://www.sdr-radio.com

 


--

- + - + -

Please use https://forum.sdr-radio.com:4499/ when posting questions or problems.


--
- + - + -
Please use https://forum.sdr-radio.com:4499/ when posting questions or problems.


John
 

Happy New Year to Simon and everybody else, hope everybody has a great new year. No doubt we'll all get some new SDR's  and probably some new antennes and some more of everything else that goes with this great hobby of Amateur Radio, Short Wave Listening and anything else that we might do with our radios. 
 Hope everybody has a great new year, Very Best Wishes and Very Best Regards to All on the list or off the list. 

Happy New Year and I hope 2022 is going to be great for everyone. John.
 Good luck with the CW decoder Simon, Sorry you don't need luck Simon with all of the fantastic software you write. Just a wee bit of time to think and you will have it done in no time. 
 Very Best Wishes and Very Best Regards to all and I hope everybody has a brilliant 2022.
 Happy New Year to Everybody 
   John.


On Sat, 1 Jan 2022 at 17:32, Larry Dodd <101science@...> wrote:
Simon
You will do a great job. Solving the unsteady CW hand issue will be interesting. Even some machine produced CW will be a challenge to decode. Looking forward to your work on it in a few months from now. Computers are amazing but programmers even more amazing. Ha!
Larry K4LED 

On Jan 1, 2022, at 11:35 AM, Simon Brown <simon@...> wrote:



Hi,

 

I’ve often said that a computer can decode better than the human brain, now I’m trying to prove it. ‘I may be some time…’

 

Simon Brown, G4ELI

https://www.sdr-radio.com

 

From: main@SDR-Radio.groups.io <main@SDR-Radio.groups.io> On Behalf Of Larry Dodd
Sent: 01 January 2022 15:13
To: main@sdr-radio.groups.io
Cc: SDR-Radio@groups.io
Subject: Re: [SDR-Radio] Happy New Year

 

Simon. All,

Happy 2022 to all. May good SDR things happen this year. Good luck Simon on the CW decoder. It’s much needed. 

Larry K4LED 



On Jan 1, 2022, at 9:02 AM, Simon Brown <simon@...> wrote:



Hi All,

 

Over here it’s 2022 so a very happy new year to you all. I’ve updated the current V3.1 beta and am now spending January designing a CW Decoder harness which I hope will help me develop a good CW Decoder, so for January and possibly February you’ll not be hearing much from me 😊 .

 

Be good in 2022,

 

Simon Brown, G4ELI

https://www.sdr-radio.com

 


--

- + - + -

Please use https://forum.sdr-radio.com:4499/ when posting questions or problems.


--
- + - + -
Please use https://forum.sdr-radio.com:4499/ when posting questions or problems.

--
John Bain


Simon Brown
 

Well,

 

This actually will be a step into AI in 2023 – 1988 / 1989 I was working in AI at SWIFT, sadly the brains of the operation was on the plane that crashed at Lockerbie. 30+ years later it’s time to try and remember the theory and see how it’s changed.

 

Simon Brown, G4ELI

https://www.sdr-radio.com

 

From: main@SDR-Radio.groups.io <main@SDR-Radio.groups.io> On Behalf Of Larry Dodd
Sent: 01 January 2022 17:33
To: main@sdr-radio.groups.io
Cc: SDR-Radio@groups.io
Subject: Re: [SDR-Radio] Happy New Year

 

Simon

You will do a great job. Solving the unsteady CW hand issue will be interesting. Even some machine produced CW will be a challenge to decode. Looking forward to your work on it in a few months from now. Computers are amazing but programmers even more amazing. Ha!

Larry K4LED 



On Jan 1, 2022, at 11:35 AM, Simon Brown <simon@...> wrote:



Hi,

 

I’ve often said that a computer can decode better than the human brain, now I’m trying to prove it. ‘I may be some time…’

 

Simon Brown, G4ELI

https://www.sdr-radio.com

 

From: main@SDR-Radio.groups.io <main@SDR-Radio.groups.io> On Behalf Of Larry Dodd
Sent: 01 January 2022 15:13
To: main@sdr-radio.groups.io
Cc: SDR-Radio@groups.io
Subject: Re: [SDR-Radio] Happy New Year

 

Simon. All,

Happy 2022 to all. May good SDR things happen this year. Good luck Simon on the CW decoder. It’s much needed. 

Larry K4LED 




On Jan 1, 2022, at 9:02 AM, Simon Brown <simon@...> wrote:



Hi All,

 

Over here it’s 2022 so a very happy new year to you all. I’ve updated the current V3.1 beta and am now spending January designing a CW Decoder harness which I hope will help me develop a good CW Decoder, so for January and possibly February you’ll not be hearing much from me 😊 .

 

Be good in 2022,

 

Simon Brown, G4ELI

https://www.sdr-radio.com

 


--

- + - + -

Please use https://forum.sdr-radio.com:4499/ when posting questions or problems.


--

- + - + -

Please use https://forum.sdr-radio.com:4499/ when posting questions or problems.


--
- + - + -
Please use https://forum.sdr-radio.com:4499/ when posting questions or problems.


Siegfried Jackstien
 

A working cw tx would be nice.. Now most sdr users use a software like morse keyer connected to console and transmitting in ssb
A direct keying in console would be needed
Dg9bfc sigi 
Ps HNY SIMON

Am 01.01.2022 18:55 schrieb Simon Brown <simon@...>:

Well,

 

This actually will be a step into AI in 2023 – 1988 / 1989 I was working in AI at SWIFT, sadly the brains of the operation was on the plane that crashed at Lockerbie. 30+ years later it’s time to try and remember the theory and see how it’s changed.

 

Simon Brown, G4ELI

https://www.sdr-radio.com

 

From: main@SDR-Radio.groups.io <main@SDR-Radio.groups.io> On Behalf Of Larry Dodd
Sent: 01 January 2022 17:33
To: main@sdr-radio.groups.io
Cc: SDR-Radio@groups.io
Subject: Re: [SDR-Radio] Happy New Year

 

Simon

You will do a great job. Solving the unsteady CW hand issue will be interesting. Even some machine produced CW will be a challenge to decode. Looking forward to your work on it in a few months from now. Computers are amazing but programmers even more amazing. Ha!

Larry K4LED 



On Jan 1, 2022, at 11:35 AM, Simon Brown <simon@...> wrote:



Hi,

 

I’ve often said that a computer can decode better than the human brain, now I’m trying to prove it. ‘I may be some time…’

 

Simon Brown, G4ELI

https://www.sdr-radio.com

 

From: main@SDR-Radio.groups.io <main@SDR-Radio.groups.io> On Behalf Of Larry Dodd
Sent: 01 January 2022 15:13
To: main@sdr-radio.groups.io
Cc: SDR-Radio@groups.io
Subject: Re: [SDR-Radio] Happy New Year

 

Simon. All,

Happy 2022 to all. May good SDR things happen this year. Good luck Simon on the CW decoder. It’s much needed. 

Larry K4LED 




On Jan 1, 2022, at 9:02 AM, Simon Brown <simon@...> wrote:



Hi All,

 

Over here it’s 2022 so a very happy new year to you all. I’ve updated the current V3.1 beta and am now spending January designing a CW Decoder harness which I hope will help me develop a good CW Decoder, so for January and possibly February you’ll not be hearing much from me 😊 .

 

Be good in 2022,

 

Simon Brown, G4ELI

https://www.sdr-radio.com

 


--

- + - + -

Please use https://forum.sdr-radio.com:4499/ when posting questions or problems.


--

- + - + -

Please use https://forum.sdr-radio.com:4499/ when posting questions or problems.


--
- + - + -
Please use https://forum.sdr-radio.com:4499/ when posting questions or problems.


Milo Medin (K6CZ)
 

There are a huge number of new tools for using AI today that leverage modern compute infrastructure.  Unfortunately, many of the public ML tools out there are optimized for visual image processing, as opposed to audio or RF SIGINT style uses.  But a number of efforts exist to convert audio or RF to an image, and then use the image tools to do the training and generate a model for decoding.  While the training is computationally expensive, once the model is built, it can be pretty efficient to run.  

Here is one that is aimed at the cw decoding problem specifically that outlines use of some common AI tools: http://ag1le.blogspot.com/2019/02/training-computer-to-listen-and-decode.html

There was another one that used ML,  GIMP and RTL-SDR's to do signal identification using images again, but I can't seem to find it now.  

Good luck,
milo (K6CZ)

On Sat, Jan 1, 2022 at 9:55 AM Simon Brown <simon@...> wrote:

Well,

 

This actually will be a step into AI in 2023 – 1988 / 1989 I was working in AI at SWIFT, sadly the brains of the operation was on the plane that crashed at Lockerbie. 30+ years later it’s time to try and remember the theory and see how it’s changed.

 

Simon Brown, G4ELI

https://www.sdr-radio.com

 

From: main@SDR-Radio.groups.io <main@SDR-Radio.groups.io> On Behalf Of Larry Dodd
Sent: 01 January 2022 17:33
To: main@sdr-radio.groups.io
Cc: SDR-Radio@groups.io
Subject: Re: [SDR-Radio] Happy New Year

 

Simon

You will do a great job. Solving the unsteady CW hand issue will be interesting. Even some machine produced CW will be a challenge to decode. Looking forward to your work on it in a few months from now. Computers are amazing but programmers even more amazing. Ha!

Larry K4LED 



On Jan 1, 2022, at 11:35 AM, Simon Brown <simon@...> wrote:



Hi,

 

I’ve often said that a computer can decode better than the human brain, now I’m trying to prove it. ‘I may be some time…’

 

Simon Brown, G4ELI

https://www.sdr-radio.com

 

From: main@SDR-Radio.groups.io <main@SDR-Radio.groups.io> On Behalf Of Larry Dodd
Sent: 01 January 2022 15:13
To: main@sdr-radio.groups.io
Cc: SDR-Radio@groups.io
Subject: Re: [SDR-Radio] Happy New Year

 

Simon. All,

Happy 2022 to all. May good SDR things happen this year. Good luck Simon on the CW decoder. It’s much needed. 

Larry K4LED 




On Jan 1, 2022, at 9:02 AM, Simon Brown <simon@...> wrote:



Hi All,

 

Over here it’s 2022 so a very happy new year to you all. I’ve updated the current V3.1 beta and am now spending January designing a CW Decoder harness which I hope will help me develop a good CW Decoder, so for January and possibly February you’ll not be hearing much from me 😊 .

 

Be good in 2022,

 

Simon Brown, G4ELI

https://www.sdr-radio.com

 


--

- + - + -

Please use https://forum.sdr-radio.com:4499/ when posting questions or problems.


--

- + - + -

Please use https://forum.sdr-radio.com:4499/ when posting questions or problems.


--
- + - + -
Please use https://forum.sdr-radio.com:4499/ when posting questions or problems.


Simon Brown
 

Milo,

 

And excellent article – something I want to understand this year.

 

Simon Brown, G4ELI

https://www.sdr-radio.com

 

From: main@SDR-Radio.groups.io <main@SDR-Radio.groups.io> On Behalf Of Milo Medin (K6CZ)
Sent: 01 January 2022 20:22
To: main@sdr-radio.groups.io
Cc: SDR-Radio@groups.io
Subject: Re: [SDR-Radio] Happy New Year

 

There are a huge number of new tools for using AI today that leverage modern compute infrastructure.  Unfortunately, many of the public ML tools out there are optimized for visual image processing, as opposed to audio or RF SIGINT style uses.  But a number of efforts exist to convert audio or RF to an image, and then use the image tools to do the training and generate a model for decoding.  While the training is computationally expensive, once the model is built, it can be pretty efficient to run.  

 

Here is one that is aimed at the cw decoding problem specifically that outlines use of some common AI tools: http://ag1le.blogspot.com/2019/02/training-computer-to-listen-and-decode.html

 

There was another one that used ML,  GIMP and RTL-SDR's to do signal identification using images again, but I can't seem to find it now.  

 

Good luck,

milo (K6CZ)

 

On Sat, Jan 1, 2022 at 9:55 AM Simon Brown <simon@...> wrote:

Well,

 

This actually will be a step into AI in 2023 – 1988 / 1989 I was working in AI at SWIFT, sadly the brains of the operation was on the plane that crashed at Lockerbie. 30+ years later it’s time to try and remember the theory and see how it’s changed.

 

Simon Brown, G4ELI

https://www.sdr-radio.com

 

From: main@SDR-Radio.groups.io <main@SDR-Radio.groups.io> On Behalf Of Larry Dodd
Sent: 01 January 2022 17:33
To: main@sdr-radio.groups.io
Cc: SDR-Radio@groups.io
Subject: Re: [SDR-Radio] Happy New Year

 

Simon

You will do a great job. Solving the unsteady CW hand issue will be interesting. Even some machine produced CW will be a challenge to decode. Looking forward to your work on it in a few months from now. Computers are amazing but programmers even more amazing. Ha!

Larry K4LED 

 

On Jan 1, 2022, at 11:35 AM, Simon Brown <simon@...> wrote:



Hi,

 

I’ve often said that a computer can decode better than the human brain, now I’m trying to prove it. ‘I may be some time…’

 

Simon Brown, G4ELI

https://www.sdr-radio.com

 

From: main@SDR-Radio.groups.io <main@SDR-Radio.groups.io> On Behalf Of Larry Dodd
Sent: 01 January 2022 15:13
To: main@sdr-radio.groups.io
Cc: SDR-Radio@groups.io
Subject: Re: [SDR-Radio] Happy New Year

 

Simon. All,

Happy 2022 to all. May good SDR things happen this year. Good luck Simon on the CW decoder. It’s much needed. 

Larry K4LED 



On Jan 1, 2022, at 9:02 AM, Simon Brown <simon@...> wrote:



Hi All,

 

Over here it’s 2022 so a very happy new year to you all. I’ve updated the current V3.1 beta and am now spending January designing a CW Decoder harness which I hope will help me develop a good CW Decoder, so for January and possibly February you’ll not be hearing much from me 😊 .

 

Be good in 2022,

 

Simon Brown, G4ELI

https://www.sdr-radio.com

 


--

- + - + -

Please use https://forum.sdr-radio.com:4499/ when posting questions or problems.


--

- + - + -

Please use https://forum.sdr-radio.com:4499/ when posting questions or problems.


--

- + - + -

Please use https://forum.sdr-radio.com:4499/ when posting questions or problems.


--
- + - + -
Please use https://forum.sdr-radio.com:4499/ when posting questions or problems.


Allan Isaacs
 

Hi Simon

If you are writing the program will it not precisely reflect the ability of your own brain….

Nowt to do with the computer.

It will definitely be a jolly good program.

Allan G3PIY


From: main@SDR-Radio.groups.io [mailto:main@SDR-Radio.groups.io] On Behalf Of Simon Brown
Sent: 01 January 2022 16:36
To: main@SDR-Radio.groups.io
Cc: SDR-Radio@groups.io
Subject: Re: [SDR-Radio] Happy New Year

 

Hi,

 

I’ve often said that a computer can decode better than the human brain, now I’m trying to prove it. ‘I may be some time…’

 

Simon Brown, G4ELI

https://www.sdr-radio.com

 


Milo Medin (K6CZ)
 

Tensorflow is an excellent system for this sort of thing.  The author of that article used random words to train the model, but if he used more traditional ham conversations it would help a lot, at least for amatuer use including typical abbreviations and Q signs so they would be better represented and not read as errors by the model.  The other thing that would be useful would be to send a bunch of  known CW text from an automated keyer and pick up the audio from a remote SDR, so the model would include fading and other non-linear impairments that come from real HF paths that hams deal with all the time.  The cherry on top would be to have hams send a set of known text with keyer, bug or straight key and capture that over the HF signal path as well.  

If the ML model is trained well, I would not be at all surprised if it could decode CW much better than the best human.  I have been surprised as to how amazing the pattern recognition capabilities of well trained models are.  The key is all in the training.  

Good luck,
Milo (K6CZ)



On Sat, Jan 1, 2022 at 1:14 PM Simon Brown <simon@...> wrote:

Milo,

 

And excellent article – something I want to understand this year.

 

Simon Brown, G4ELI

https://www.sdr-radio.com

 

From: main@SDR-Radio.groups.io <main@SDR-Radio.groups.io> On Behalf Of Milo Medin (K6CZ)
Sent: 01 January 2022 20:22
To: main@sdr-radio.groups.io
Cc: SDR-Radio@groups.io
Subject: Re: [SDR-Radio] Happy New Year

 

There are a huge number of new tools for using AI today that leverage modern compute infrastructure.  Unfortunately, many of the public ML tools out there are optimized for visual image processing, as opposed to audio or RF SIGINT style uses.  But a number of efforts exist to convert audio or RF to an image, and then use the image tools to do the training and generate a model for decoding.  While the training is computationally expensive, once the model is built, it can be pretty efficient to run.  

 

Here is one that is aimed at the cw decoding problem specifically that outlines use of some common AI tools: http://ag1le.blogspot.com/2019/02/training-computer-to-listen-and-decode.html

 

There was another one that used ML,  GIMP and RTL-SDR's to do signal identification using images again, but I can't seem to find it now.  

 

Good luck,

milo (K6CZ)

 

On Sat, Jan 1, 2022 at 9:55 AM Simon Brown <simon@...> wrote:

Well,

 

This actually will be a step into AI in 2023 – 1988 / 1989 I was working in AI at SWIFT, sadly the brains of the operation was on the plane that crashed at Lockerbie. 30+ years later it’s time to try and remember the theory and see how it’s changed.

 

Simon Brown, G4ELI

https://www.sdr-radio.com

 

From: main@SDR-Radio.groups.io <main@SDR-Radio.groups.io> On Behalf Of Larry Dodd
Sent: 01 January 2022 17:33
To: main@sdr-radio.groups.io
Cc: SDR-Radio@groups.io
Subject: Re: [SDR-Radio] Happy New Year

 

Simon

You will do a great job. Solving the unsteady CW hand issue will be interesting. Even some machine produced CW will be a challenge to decode. Looking forward to your work on it in a few months from now. Computers are amazing but programmers even more amazing. Ha!

Larry K4LED 

 

On Jan 1, 2022, at 11:35 AM, Simon Brown <simon@...> wrote:



Hi,

 

I’ve often said that a computer can decode better than the human brain, now I’m trying to prove it. ‘I may be some time…’

 

Simon Brown, G4ELI

https://www.sdr-radio.com

 

From: main@SDR-Radio.groups.io <main@SDR-Radio.groups.io> On Behalf Of Larry Dodd
Sent: 01 January 2022 15:13
To: main@sdr-radio.groups.io
Cc: SDR-Radio@groups.io
Subject: Re: [SDR-Radio] Happy New Year

 

Simon. All,

Happy 2022 to all. May good SDR things happen this year. Good luck Simon on the CW decoder. It’s much needed. 

Larry K4LED 



On Jan 1, 2022, at 9:02 AM, Simon Brown <simon@...> wrote:



Hi All,

 

Over here it’s 2022 so a very happy new year to you all. I’ve updated the current V3.1 beta and am now spending January designing a CW Decoder harness which I hope will help me develop a good CW Decoder, so for January and possibly February you’ll not be hearing much from me 😊 .

 

Be good in 2022,

 

Simon Brown, G4ELI

https://www.sdr-radio.com

 


--

- + - + -

Please use https://forum.sdr-radio.com:4499/ when posting questions or problems.


--

- + - + -

Please use https://forum.sdr-radio.com:4499/ when posting questions or problems.


--

- + - + -

Please use https://forum.sdr-radio.com:4499/ when posting questions or problems.


--
- + - + -
Please use https://forum.sdr-radio.com:4499/ when posting questions or problems.


Simon Brown
 

Agreed about the training. I hope to have the AI included by Easter, then I can dig further. Still a lot to do to get a nice UI harness working.

 

Simon Brown, G4ELI

https://www.sdr-radio.com

 

From: main@SDR-Radio.groups.io <main@SDR-Radio.groups.io> On Behalf Of Milo Medin (K6CZ)
Sent: 02 January 2022 16:31
To: main@sdr-radio.groups.io
Cc: SDR-Radio@groups.io
Subject: Re: [SDR-Radio] Happy New Year

 

Tensorflow is an excellent system for this sort of thing.  The author of that article used random words to train the model, but if he used more traditional ham conversations it would help a lot, at least for amatuer use including typical abbreviations and Q signs so they would be better represented and not read as errors by the model.  The other thing that would be useful would be to send a bunch of  known CW text from an automated keyer and pick up the audio from a remote SDR, so the model would include fading and other non-linear impairments that come from real HF paths that hams deal with all the time.  The cherry on top would be to have hams send a set of known text with keyer, bug or straight key and capture that over the HF signal path as well.  

 

If the ML model is trained well, I would not be at all surprised if it could decode CW much better than the best human.  I have been surprised as to how amazing the pattern recognition capabilities of well trained models are.  The key is all in the training.  

 

Good luck,

Milo (K6CZ)

 

 

 

On Sat, Jan 1, 2022 at 1:14 PM Simon Brown <simon@...> wrote:

Milo,

 

And excellent article – something I want to understand this year.

 

Simon Brown, G4ELI

https://www.sdr-radio.com

 

From: main@SDR-Radio.groups.io <main@SDR-Radio.groups.io> On Behalf Of Milo Medin (K6CZ)
Sent: 01 January 2022 20:22
To: main@sdr-radio.groups.io
Cc: SDR-Radio@groups.io
Subject: Re: [SDR-Radio] Happy New Year

 

There are a huge number of new tools for using AI today that leverage modern compute infrastructure.  Unfortunately, many of the public ML tools out there are optimized for visual image processing, as opposed to audio or RF SIGINT style uses.  But a number of efforts exist to convert audio or RF to an image, and then use the image tools to do the training and generate a model for decoding.  While the training is computationally expensive, once the model is built, it can be pretty efficient to run.  

 

Here is one that is aimed at the cw decoding problem specifically that outlines use of some common AI tools: http://ag1le.blogspot.com/2019/02/training-computer-to-listen-and-decode.html

 

There was another one that used ML,  GIMP and RTL-SDR's to do signal identification using images again, but I can't seem to find it now.  

 

Good luck,

milo (K6CZ)

 

On Sat, Jan 1, 2022 at 9:55 AM Simon Brown <simon@...> wrote:

Well,

 

This actually will be a step into AI in 2023 – 1988 / 1989 I was working in AI at SWIFT, sadly the brains of the operation was on the plane that crashed at Lockerbie. 30+ years later it’s time to try and remember the theory and see how it’s changed.

 

Simon Brown, G4ELI

https://www.sdr-radio.com

 

From: main@SDR-Radio.groups.io <main@SDR-Radio.groups.io> On Behalf Of Larry Dodd
Sent: 01 January 2022 17:33
To: main@sdr-radio.groups.io
Cc: SDR-Radio@groups.io
Subject: Re: [SDR-Radio] Happy New Year

 

Simon

You will do a great job. Solving the unsteady CW hand issue will be interesting. Even some machine produced CW will be a challenge to decode. Looking forward to your work on it in a few months from now. Computers are amazing but programmers even more amazing. Ha!

Larry K4LED 

 

On Jan 1, 2022, at 11:35 AM, Simon Brown <simon@...> wrote:



Hi,

 

I’ve often said that a computer can decode better than the human brain, now I’m trying to prove it. ‘I may be some time…’

 

Simon Brown, G4ELI

https://www.sdr-radio.com

 

From: main@SDR-Radio.groups.io <main@SDR-Radio.groups.io> On Behalf Of Larry Dodd
Sent: 01 January 2022 15:13
To: main@sdr-radio.groups.io
Cc: SDR-Radio@groups.io
Subject: Re: [SDR-Radio] Happy New Year

 

Simon. All,

Happy 2022 to all. May good SDR things happen this year. Good luck Simon on the CW decoder. It’s much needed. 

Larry K4LED 

 

On Jan 1, 2022, at 9:02 AM, Simon Brown <simon@...> wrote:



Hi All,

 

Over here it’s 2022 so a very happy new year to you all. I’ve updated the current V3.1 beta and am now spending January designing a CW Decoder harness which I hope will help me develop a good CW Decoder, so for January and possibly February you’ll not be hearing much from me 😊 .

 

Be good in 2022,

 

Simon Brown, G4ELI

https://www.sdr-radio.com

 


--

- + - + -

Please use https://forum.sdr-radio.com:4499/ when posting questions or problems.


--

- + - + -

Please use https://forum.sdr-radio.com:4499/ when posting questions or problems.


--

- + - + -

Please use https://forum.sdr-radio.com:4499/ when posting questions or problems.


--

- + - + -

Please use https://forum.sdr-radio.com:4499/ when posting questions or problems.


--
- + - + -
Please use https://forum.sdr-radio.com:4499/ when posting questions or problems.


jdow
 

Please somewhere in there squeeze in a few hours to put together the new RX888 knowledge to make it more useful within SDRC.

{o.o}

On 20220102 08:37:39, Simon Brown wrote:

Agreed about the training. I hope to have the AI included by Easter, then I can dig further. Still a lot to do to get a nice UI harness working.

 

Simon Brown, G4ELI

https://www.sdr-radio.com

 

From: main@SDR-Radio.groups.io <main@SDR-Radio.groups.io> On Behalf Of Milo Medin (K6CZ)
Sent: 02 January 2022 16:31
To: main@sdr-radio.groups.io
Cc: SDR-Radio@groups.io
Subject: Re: [SDR-Radio] Happy New Year

 

Tensorflow is an excellent system for this sort of thing.  The author of that article used random words to train the model, but if he used more traditional ham conversations it would help a lot, at least for amatuer use including typical abbreviations and Q signs so they would be better represented and not read as errors by the model.  The other thing that would be useful would be to send a bunch of  known CW text from an automated keyer and pick up the audio from a remote SDR, so the model would include fading and other non-linear impairments that come from real HF paths that hams deal with all the time.  The cherry on top would be to have hams send a set of known text with keyer, bug or straight key and capture that over the HF signal path as well.  

 

If the ML model is trained well, I would not be at all surprised if it could decode CW much better than the best human.  I have been surprised as to how amazing the pattern recognition capabilities of well trained models are.  The key is all in the training.  

 

Good luck,

Milo (K6CZ)

 

 

 

On Sat, Jan 1, 2022 at 1:14 PM Simon Brown <simon@...> wrote:

Milo,

 

And excellent article – something I want to understand this year.

 

Simon Brown, G4ELI

https://www.sdr-radio.com

 

From: main@SDR-Radio.groups.io <main@SDR-Radio.groups.io> On Behalf Of Milo Medin (K6CZ)
Sent: 01 January 2022 20:22
To: main@sdr-radio.groups.io
Cc: SDR-Radio@groups.io
Subject: Re: [SDR-Radio] Happy New Year

 

There are a huge number of new tools for using AI today that leverage modern compute infrastructure.  Unfortunately, many of the public ML tools out there are optimized for visual image processing, as opposed to audio or RF SIGINT style uses.  But a number of efforts exist to convert audio or RF to an image, and then use the image tools to do the training and generate a model for decoding.  While the training is computationally expensive, once the model is built, it can be pretty efficient to run.  

 

Here is one that is aimed at the cw decoding problem specifically that outlines use of some common AI tools: http://ag1le.blogspot.com/2019/02/training-computer-to-listen-and-decode.html

 

There was another one that used ML,  GIMP and RTL-SDR's to do signal identification using images again, but I can't seem to find it now.  

 

Good luck,

milo (K6CZ)

 

On Sat, Jan 1, 2022 at 9:55 AM Simon Brown <simon@...> wrote:

Well,

 

This actually will be a step into AI in 2023 – 1988 / 1989 I was working in AI at SWIFT, sadly the brains of the operation was on the plane that crashed at Lockerbie. 30+ years later it’s time to try and remember the theory and see how it’s changed.

 

Simon Brown, G4ELI

https://www.sdr-radio.com

 

From: main@SDR-Radio.groups.io <main@SDR-Radio.groups.io> On Behalf Of Larry Dodd
Sent: 01 January 2022 17:33
To: main@sdr-radio.groups.io
Cc: SDR-Radio@groups.io
Subject: Re: [SDR-Radio] Happy New Year

 

Simon

You will do a great job. Solving the unsteady CW hand issue will be interesting. Even some machine produced CW will be a challenge to decode. Looking forward to your work on it in a few months from now. Computers are amazing but programmers even more amazing. Ha!

Larry K4LED 

 

On Jan 1, 2022, at 11:35 AM, Simon Brown <simon@...> wrote:



Hi,

 

I’ve often said that a computer can decode better than the human brain, now I’m trying to prove it. ‘I may be some time…’

 

Simon Brown, G4ELI

https://www.sdr-radio.com

 

From: main@SDR-Radio.groups.io <main@SDR-Radio.groups.io> On Behalf Of Larry Dodd
Sent: 01 January 2022 15:13
To: main@sdr-radio.groups.io
Cc: SDR-Radio@groups.io
Subject: Re: [SDR-Radio] Happy New Year

 

Simon. All,

Happy 2022 to all. May good SDR things happen this year. Good luck Simon on the CW decoder. It’s much needed. 

Larry K4LED 

 

On Jan 1, 2022, at 9:02 AM, Simon Brown <simon@...> wrote:



Hi All,

 

Over here it’s 2022 so a very happy new year to you all. I’ve updated the current V3.1 beta and am now spending January designing a CW Decoder harness which I hope will help me develop a good CW Decoder, so for January and possibly February you’ll not be hearing much from me 😊 .

 

Be good in 2022,

 

Simon Brown, G4ELI

https://www.sdr-radio.com

 


--

- + - + -

Please use https://forum.sdr-radio.com:4499/ when posting questions or problems.


--

- + - + -

Please use https://forum.sdr-radio.com:4499/ when posting questions or problems.


--

- + - + -

Please use https://forum.sdr-radio.com:4499/ when posting questions or problems.


--

- + - + -

Please use https://forum.sdr-radio.com:4499/ when posting questions or problems.


--
- + - + -
Please use https://forum.sdr-radio.com:4499/ when posting questions or problems.


Siegfried Jackstien
 

In noisy conditions a human can decode better, cause when a human hears something like "c o . . w a l l", the human knows the missing r and n.

The brain is the best noisefilter ever. A computer can come close. But when the conditions are at the noise border, the brain can fill in missing signs.

Decoding BELOW the noiseborder?? yes thats a thing a computer can do (but not with a hand keyed cw signal) ... see WSPR or ft4 /ft8 modes

The other station is "smearing signs" a bit?!? No way to decode by pc, but a brain still can read that.

I guess a really good cw decoder is not that easy ;-)

HNY Simon

Greetings Sigi dg9bfc

Am 01.01.2022 um 17:35 schrieb Simon Brown:

Hi,

 

I’ve often said that a computer can decode better than the human brain, now I’m trying to prove it. ‘I may be some time…’

 

Simon Brown, G4ELI

https://www.sdr-radio.com

 

From: main@SDR-Radio.groups.io <main@SDR-Radio.groups.io> On Behalf Of Larry Dodd
Sent: 01 January 2022 15:13
To: main@sdr-radio.groups.io
Cc: SDR-Radio@groups.io
Subject: Re: [SDR-Radio] Happy New Year

 

Simon. All,

Happy 2022 to all. May good SDR things happen this year. Good luck Simon on the CW decoder. It’s much needed. 

Larry K4LED 



On Jan 1, 2022, at 9:02 AM, Simon Brown <simon@...> wrote:



Hi All,

 

Over here it’s 2022 so a very happy new year to you all. I’ve updated the current V3.1 beta and am now spending January designing a CW Decoder harness which I hope will help me develop a good CW Decoder, so for January and possibly February you’ll not be hearing much from me 😊 .

 

Be good in 2022,

 

Simon Brown, G4ELI

https://www.sdr-radio.com

 


--

- + - + -

Please use https://forum.sdr-radio.com:4499/ when posting questions or problems.


--
- + - + -
Please use https://forum.sdr-radio.com:4499/ when posting questions or problems.


jdow
 

Humans have an advantage. We understand context and current AI implementations don't come close to understanding context. That is subject to change.

{o.o}

On 20220102 09:19:43, Siegfried Jackstien wrote:

In noisy conditions a human can decode better, cause when a human hears something like "c o . . w a l l", the human knows the missing r and n.

The brain is the best noisefilter ever. A computer can come close. But when the conditions are at the noise border, the brain can fill in missing signs.

Decoding BELOW the noiseborder?? yes thats a thing a computer can do (but not with a hand keyed cw signal) ... see WSPR or ft4 /ft8 modes

The other station is "smearing signs" a bit?!? No way to decode by pc, but a brain still can read that.

I guess a really good cw decoder is not that easy ;-)

HNY Simon

Greetings Sigi dg9bfc

Am 01.01.2022 um 17:35 schrieb Simon Brown:

Hi,

 

I’ve often said that a computer can decode better than the human brain, now I’m trying to prove it. ‘I may be some time…’

 

Simon Brown, G4ELI

https://www.sdr-radio.com

 

From: main@SDR-Radio.groups.io <main@SDR-Radio.groups.io> On Behalf Of Larry Dodd
Sent: 01 January 2022 15:13
To: main@sdr-radio.groups.io
Cc: SDR-Radio@groups.io
Subject: Re: [SDR-Radio] Happy New Year

 

Simon. All,

Happy 2022 to all. May good SDR things happen this year. Good luck Simon on the CW decoder. It’s much needed. 

Larry K4LED 



On Jan 1, 2022, at 9:02 AM, Simon Brown <simon@...> wrote:



Hi All,

 

Over here it’s 2022 so a very happy new year to you all. I’ve updated the current V3.1 beta and am now spending January designing a CW Decoder harness which I hope will help me develop a good CW Decoder, so for January and possibly February you’ll not be hearing much from me 😊 .

 

Be good in 2022,

 

Simon Brown, G4ELI

https://www.sdr-radio.com

 


--

- + - + -

Please use https://forum.sdr-radio.com:4499/ when posting questions or problems.


--
- + - + -
Please use https://forum.sdr-radio.com:4499/ when posting questions or problems.


Simon Brown
 

A few hours is a few days. Adding serial number support is straightforward, I have no plans to add the 64 MHz bandwidth.

 

Simon Brown, G4ELI

https://www.sdr-radio.com

 

From: main@SDR-Radio.groups.io <main@SDR-Radio.groups.io> On Behalf Of jdow
Sent: 02 January 2022 17:08
To: main@SDR-Radio.groups.io
Subject: Re: [SDR-Radio] Happy New Year

 

Please somewhere in there squeeze in a few hours to put together the new RX888 knowledge to make it more useful within SDRC.

{o.o}

On 20220102 08:37:39, Simon Brown wrote:

Agreed about the training. I hope to have the AI included by Easter, then I can dig further. Still a lot to do to get a nice UI harness working.

 

Simon Brown, G4ELI

https://www.sdr-radio.com

 

From: main@SDR-Radio.groups.io <main@SDR-Radio.groups.io> On Behalf Of Milo Medin (K6CZ)
Sent: 02 January 2022 16:31
To: main@sdr-radio.groups.io
Cc: SDR-Radio@groups.io
Subject: Re: [SDR-Radio] Happy New Year

 

Tensorflow is an excellent system for this sort of thing.  The author of that article used random words to train the model, but if he used more traditional ham conversations it would help a lot, at least for amatuer use including typical abbreviations and Q signs so they would be better represented and not read as errors by the model.  The other thing that would be useful would be to send a bunch of  known CW text from an automated keyer and pick up the audio from a remote SDR, so the model would include fading and other non-linear impairments that come from real HF paths that hams deal with all the time.  The cherry on top would be to have hams send a set of known text with keyer, bug or straight key and capture that over the HF signal path as well.  

 

If the ML model is trained well, I would not be at all surprised if it could decode CW much better than the best human.  I have been surprised as to how amazing the pattern recognition capabilities of well trained models are.  The key is all in the training.  

 

Good luck,

Milo (K6CZ)

 

 

 

On Sat, Jan 1, 2022 at 1:14 PM Simon Brown <simon@...> wrote:

Milo,

 

And excellent article – something I want to understand this year.

 

Simon Brown, G4ELI

https://www.sdr-radio.com

 

From: main@SDR-Radio.groups.io <main@SDR-Radio.groups.io> On Behalf Of Milo Medin (K6CZ)
Sent: 01 January 2022 20:22
To: main@sdr-radio.groups.io
Cc: SDR-Radio@groups.io
Subject: Re: [SDR-Radio] Happy New Year

 

There are a huge number of new tools for using AI today that leverage modern compute infrastructure.  Unfortunately, many of the public ML tools out there are optimized for visual image processing, as opposed to audio or RF SIGINT style uses.  But a number of efforts exist to convert audio or RF to an image, and then use the image tools to do the training and generate a model for decoding.  While the training is computationally expensive, once the model is built, it can be pretty efficient to run.  

 

Here is one that is aimed at the cw decoding problem specifically that outlines use of some common AI tools: http://ag1le.blogspot.com/2019/02/training-computer-to-listen-and-decode.html

 

There was another one that used ML,  GIMP and RTL-SDR's to do signal identification using images again, but I can't seem to find it now.  

 

Good luck,

milo (K6CZ)

 

On Sat, Jan 1, 2022 at 9:55 AM Simon Brown <simon@...> wrote:

Well,

 

This actually will be a step into AI in 2023 – 1988 / 1989 I was working in AI at SWIFT, sadly the brains of the operation was on the plane that crashed at Lockerbie. 30+ years later it’s time to try and remember the theory and see how it’s changed.

 

Simon Brown, G4ELI

https://www.sdr-radio.com

 

From: main@SDR-Radio.groups.io <main@SDR-Radio.groups.io> On Behalf Of Larry Dodd
Sent: 01 January 2022 17:33
To: main@sdr-radio.groups.io
Cc: SDR-Radio@groups.io
Subject: Re: [SDR-Radio] Happy New Year

 

Simon

You will do a great job. Solving the unsteady CW hand issue will be interesting. Even some machine produced CW will be a challenge to decode. Looking forward to your work on it in a few months from now. Computers are amazing but programmers even more amazing. Ha!

Larry K4LED 

 

On Jan 1, 2022, at 11:35 AM, Simon Brown <simon@...> wrote:



Hi,

 

I’ve often said that a computer can decode better than the human brain, now I’m trying to prove it. ‘I may be some time…’

 

Simon Brown, G4ELI

https://www.sdr-radio.com

 

From: main@SDR-Radio.groups.io <main@SDR-Radio.groups.io> On Behalf Of Larry Dodd
Sent: 01 January 2022 15:13
To: main@sdr-radio.groups.io
Cc: SDR-Radio@groups.io
Subject: Re: [SDR-Radio] Happy New Year

 

Simon. All,

Happy 2022 to all. May good SDR things happen this year. Good luck Simon on the CW decoder. It’s much needed. 

Larry K4LED 

 

On Jan 1, 2022, at 9:02 AM, Simon Brown <simon@...> wrote:



Hi All,

 

Over here it’s 2022 so a very happy new year to you all. I’ve updated the current V3.1 beta and am now spending January designing a CW Decoder harness which I hope will help me develop a good CW Decoder, so for January and possibly February you’ll not be hearing much from me 😊 .

 

Be good in 2022,

 

Simon Brown, G4ELI

https://www.sdr-radio.com

 


--

- + - + -

Please use https://forum.sdr-radio.com:4499/ when posting questions or problems.


--

- + - + -

Please use https://forum.sdr-radio.com:4499/ when posting questions or problems.


--

- + - + -

Please use https://forum.sdr-radio.com:4499/ when posting questions or problems.


--

- + - + -

Please use https://forum.sdr-radio.com:4499/ when posting questions or problems.


--

- + - + -

Please use https://forum.sdr-radio.com:4499/ when posting questions or problems.

 


--
- + - + -
Please use https://forum.sdr-radio.com:4499/ when posting questions or problems.


jdow
 

Oh poo.
{o.o}

On 20220102 09:44:53, Simon Brown wrote:

A few hours is a few days. Adding serial number support is straightforward, I have no plans to add the 64 MHz bandwidth.

 

Simon Brown, G4ELI

https://www.sdr-radio.com

 

From: main@SDR-Radio.groups.io <main@SDR-Radio.groups.io> On Behalf Of jdow
Sent: 02 January 2022 17:08
To: main@SDR-Radio.groups.io
Subject: Re: [SDR-Radio] Happy New Year

 

Please somewhere in there squeeze in a few hours to put together the new RX888 knowledge to make it more useful within SDRC.

{o.o}

On 20220102 08:37:39, Simon Brown wrote:

Agreed about the training. I hope to have the AI included by Easter, then I can dig further. Still a lot to do to get a nice UI harness working.

 

Simon Brown, G4ELI

https://www.sdr-radio.com

 

From: main@SDR-Radio.groups.io <main@SDR-Radio.groups.io> On Behalf Of Milo Medin (K6CZ)
Sent: 02 January 2022 16:31
To: main@sdr-radio.groups.io
Cc: SDR-Radio@groups.io
Subject: Re: [SDR-Radio] Happy New Year

 

Tensorflow is an excellent system for this sort of thing.  The author of that article used random words to train the model, but if he used more traditional ham conversations it would help a lot, at least for amatuer use including typical abbreviations and Q signs so they would be better represented and not read as errors by the model.  The other thing that would be useful would be to send a bunch of  known CW text from an automated keyer and pick up the audio from a remote SDR, so the model would include fading and other non-linear impairments that come from real HF paths that hams deal with all the time.  The cherry on top would be to have hams send a set of known text with keyer, bug or straight key and capture that over the HF signal path as well.  

 

If the ML model is trained well, I would not be at all surprised if it could decode CW much better than the best human.  I have been surprised as to how amazing the pattern recognition capabilities of well trained models are.  The key is all in the training.  

 

Good luck,

Milo (K6CZ)

 

 

 

On Sat, Jan 1, 2022 at 1:14 PM Simon Brown <simon@...> wrote:

Milo,

 

And excellent article – something I want to understand this year.

 

Simon Brown, G4ELI

https://www.sdr-radio.com

 

From: main@SDR-Radio.groups.io <main@SDR-Radio.groups.io> On Behalf Of Milo Medin (K6CZ)
Sent: 01 January 2022 20:22
To: main@sdr-radio.groups.io
Cc: SDR-Radio@groups.io
Subject: Re: [SDR-Radio] Happy New Year

 

There are a huge number of new tools for using AI today that leverage modern compute infrastructure.  Unfortunately, many of the public ML tools out there are optimized for visual image processing, as opposed to audio or RF SIGINT style uses.  But a number of efforts exist to convert audio or RF to an image, and then use the image tools to do the training and generate a model for decoding.  While the training is computationally expensive, once the model is built, it can be pretty efficient to run.  

 

Here is one that is aimed at the cw decoding problem specifically that outlines use of some common AI tools: http://ag1le.blogspot.com/2019/02/training-computer-to-listen-and-decode.html

 

There was another one that used ML,  GIMP and RTL-SDR's to do signal identification using images again, but I can't seem to find it now.  

 

Good luck,

milo (K6CZ)

 

On Sat, Jan 1, 2022 at 9:55 AM Simon Brown <simon@...> wrote:

Well,

 

This actually will be a step into AI in 2023 – 1988 / 1989 I was working in AI at SWIFT, sadly the brains of the operation was on the plane that crashed at Lockerbie. 30+ years later it’s time to try and remember the theory and see how it’s changed.

 

Simon Brown, G4ELI

https://www.sdr-radio.com

 

From: main@SDR-Radio.groups.io <main@SDR-Radio.groups.io> On Behalf Of Larry Dodd
Sent: 01 January 2022 17:33
To: main@sdr-radio.groups.io
Cc: SDR-Radio@groups.io
Subject: Re: [SDR-Radio] Happy New Year

 

Simon

You will do a great job. Solving the unsteady CW hand issue will be interesting. Even some machine produced CW will be a challenge to decode. Looking forward to your work on it in a few months from now. Computers are amazing but programmers even more amazing. Ha!

Larry K4LED 

 

On Jan 1, 2022, at 11:35 AM, Simon Brown <simon@...> wrote:



Hi,

 

I’ve often said that a computer can decode better than the human brain, now I’m trying to prove it. ‘I may be some time…’

 

Simon Brown, G4ELI

https://www.sdr-radio.com

 

From: main@SDR-Radio.groups.io <main@SDR-Radio.groups.io> On Behalf Of Larry Dodd
Sent: 01 January 2022 15:13
To: main@sdr-radio.groups.io
Cc: SDR-Radio@groups.io
Subject: Re: [SDR-Radio] Happy New Year

 

Simon. All,

Happy 2022 to all. May good SDR things happen this year. Good luck Simon on the CW decoder. It’s much needed. 

Larry K4LED 

 

On Jan 1, 2022, at 9:02 AM, Simon Brown <simon@...> wrote:



Hi All,

 

Over here it’s 2022 so a very happy new year to you all. I’ve updated the current V3.1 beta and am now spending January designing a CW Decoder harness which I hope will help me develop a good CW Decoder, so for January and possibly February you’ll not be hearing much from me 😊 .

 

Be good in 2022,

 

Simon Brown, G4ELI

https://www.sdr-radio.com

 


--

- + - + -

Please use https://forum.sdr-radio.com:4499/ when posting questions or problems.


--

- + - + -

Please use https://forum.sdr-radio.com:4499/ when posting questions or problems.


--

- + - + -

Please use https://forum.sdr-radio.com:4499/ when posting questions or problems.


--

- + - + -

Please use https://forum.sdr-radio.com:4499/ when posting questions or problems.


--

- + - + -

Please use https://forum.sdr-radio.com:4499/ when posting questions or problems.

 


--
- + - + -
Please use https://forum.sdr-radio.com:4499/ when posting questions or problems.


Simon Brown
 

I see that it would be nice to play with but is not very practical and requires a lot of effort from me. There’s no API for the RX888, just raw ADC data and ‘good luck to the programmer’.

 

Simon Brown, G4ELI

https://www.sdr-radio.com

 

From: main@SDR-Radio.groups.io <main@SDR-Radio.groups.io> On Behalf Of jdow
Sent: 02 January 2022 18:04
To: main@SDR-Radio.groups.io
Subject: Re: [SDR-Radio] Happy New Year

 

Oh poo.
{o.o}

On 20220102 09:44:53, Simon Brown wrote:

A few hours is a few days. Adding serial number support is straightforward, I have no plans to add the 64 MHz bandwidth.

 

Simon Brown, G4ELI

https://www.sdr-radio.com

 

From: main@SDR-Radio.groups.io <main@SDR-Radio.groups.io> On Behalf Of jdow
Sent: 02 January 2022 17:08
To: main@SDR-Radio.groups.io
Subject: Re: [SDR-Radio] Happy New Year

 

Please somewhere in there squeeze in a few hours to put together the new RX888 knowledge to make it more useful within SDRC.

{o.o}


On 20220102 08:37:39, Simon Brown wrote:

Agreed about the training. I hope to have the AI included by Easter, then I can dig further. Still a lot to do to get a nice UI harness working.

 

Simon Brown, G4ELI

https://www.sdr-radio.com

 

From: main@SDR-Radio.groups.io <main@SDR-Radio.groups.io> On Behalf Of Milo Medin (K6CZ)
Sent: 02 January 2022 16:31
To: main@sdr-radio.groups.io
Cc: SDR-Radio@groups.io
Subject: Re: [SDR-Radio] Happy New Year

 

Tensorflow is an excellent system for this sort of thing.  The author of that article used random words to train the model, but if he used more traditional ham conversations it would help a lot, at least for amatuer use including typical abbreviations and Q signs so they would be better represented and not read as errors by the model.  The other thing that would be useful would be to send a bunch of  known CW text from an automated keyer and pick up the audio from a remote SDR, so the model would include fading and other non-linear impairments that come from real HF paths that hams deal with all the time.  The cherry on top would be to have hams send a set of known text with keyer, bug or straight key and capture that over the HF signal path as well.  

 

If the ML model is trained well, I would not be at all surprised if it could decode CW much better than the best human.  I have been surprised as to how amazing the pattern recognition capabilities of well trained models are.  The key is all in the training.  

 

Good luck,

Milo (K6CZ)

 

 

 

On Sat, Jan 1, 2022 at 1:14 PM Simon Brown <simon@...> wrote:

Milo,

 

And excellent article – something I want to understand this year.

 

Simon Brown, G4ELI

https://www.sdr-radio.com

 

From: main@SDR-Radio.groups.io <main@SDR-Radio.groups.io> On Behalf Of Milo Medin (K6CZ)
Sent: 01 January 2022 20:22
To: main@sdr-radio.groups.io
Cc: SDR-Radio@groups.io
Subject: Re: [SDR-Radio] Happy New Year

 

There are a huge number of new tools for using AI today that leverage modern compute infrastructure.  Unfortunately, many of the public ML tools out there are optimized for visual image processing, as opposed to audio or RF SIGINT style uses.  But a number of efforts exist to convert audio or RF to an image, and then use the image tools to do the training and generate a model for decoding.  While the training is computationally expensive, once the model is built, it can be pretty efficient to run.  

 

Here is one that is aimed at the cw decoding problem specifically that outlines use of some common AI tools: http://ag1le.blogspot.com/2019/02/training-computer-to-listen-and-decode.html

 

There was another one that used ML,  GIMP and RTL-SDR's to do signal identification using images again, but I can't seem to find it now.  

 

Good luck,

milo (K6CZ)

 

On Sat, Jan 1, 2022 at 9:55 AM Simon Brown <simon@...> wrote:

Well,

 

This actually will be a step into AI in 2023 – 1988 / 1989 I was working in AI at SWIFT, sadly the brains of the operation was on the plane that crashed at Lockerbie. 30+ years later it’s time to try and remember the theory and see how it’s changed.

 

Simon Brown, G4ELI

https://www.sdr-radio.com

 

From: main@SDR-Radio.groups.io <main@SDR-Radio.groups.io> On Behalf Of Larry Dodd
Sent: 01 January 2022 17:33
To: main@sdr-radio.groups.io
Cc: SDR-Radio@groups.io
Subject: Re: [SDR-Radio] Happy New Year

 

Simon

You will do a great job. Solving the unsteady CW hand issue will be interesting. Even some machine produced CW will be a challenge to decode. Looking forward to your work on it in a few months from now. Computers are amazing but programmers even more amazing. Ha!

Larry K4LED 

 

On Jan 1, 2022, at 11:35 AM, Simon Brown <simon@...> wrote:



Hi,

 

I’ve often said that a computer can decode better than the human brain, now I’m trying to prove it. ‘I may be some time…’

 

Simon Brown, G4ELI

https://www.sdr-radio.com

 

From: main@SDR-Radio.groups.io <main@SDR-Radio.groups.io> On Behalf Of Larry Dodd
Sent: 01 January 2022 15:13
To: main@sdr-radio.groups.io
Cc: SDR-Radio@groups.io
Subject: Re: [SDR-Radio] Happy New Year

 

Simon. All,

Happy 2022 to all. May good SDR things happen this year. Good luck Simon on the CW decoder. It’s much needed. 

Larry K4LED 

 

On Jan 1, 2022, at 9:02 AM, Simon Brown <simon@...> wrote:



Hi All,

 

Over here it’s 2022 so a very happy new year to you all. I’ve updated the current V3.1 beta and am now spending January designing a CW Decoder harness which I hope will help me develop a good CW Decoder, so for January and possibly February you’ll not be hearing much from me 😊 .

 

Be good in 2022,

 

Simon Brown, G4ELI

https://www.sdr-radio.com

 


--

- + - + -

Please use https://forum.sdr-radio.com:4499/ when posting questions or problems.


--

- + - + -

Please use https://forum.sdr-radio.com:4499/ when posting questions or problems.


--

- + - + -

Please use https://forum.sdr-radio.com:4499/ when posting questions or problems.


--

- + - + -

Please use https://forum.sdr-radio.com:4499/ when posting questions or problems.


--

- + - + -

Please use https://forum.sdr-radio.com:4499/ when posting questions or problems.

 


--

- + - + -

Please use https://forum.sdr-radio.com:4499/ when posting questions or problems.

 


--
- + - + -
Please use https://forum.sdr-radio.com:4499/ when posting questions or problems.