Date   

Re: Happy New Year

jdow
 

Hm, maybe I can convert the rtlsdr source I have to handle extio files. That might keep me off the street a few days. OTOH it would be a more fun challenge to skip the extra dll and include that code into a sourcexxx.dll. Then you'll be able to Simonize (ouch) work I kludge into something in your style and more trouble free.

{o.o}

On 20220102 10:29:21, Simon Brown wrote:

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

 


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Re: [SDR-Radio-TestTeam] SDRC Bitmap Display - short intro

Simon Brown
 

Ah,

 

But I’m hoping to be on top of my game until I’m 70 – very few guys writing serious code at that age. Long term I’ll be happy to bat along until I’m 75, then retire to Spain (maybe sooner).

 

Simon Brown, G4ELI

https://www.sdr-radio.com

 

From: main@SDR-Radio.groups.io <main@SDR-Radio.groups.io> On Behalf Of Jerry Lofstead W3CDE
Sent: 02 January 2022 18:31
To: main@sdr-radio.groups.io
Subject: Re: [SDR-Radio] [SDR-Radio-TestTeam] SDRC Bitmap Display - short intro

 

cONGRATS ON 65  I just turned 81 and am looking for 94 per the life tables 8-)

 

Jerry

W3CDE

 

On Sun, Jan 2, 2022 at 12:44 PM Simon Brown <simon@...> wrote:

One thing,

I'll be 65 this year so who knows how long I'll be writing code. There are many things that could be written, I must concentrate on those which I really have a desire to write.

Simon Brown, G4ELI
https://www.sdr-radio.com

-----Original Message-----
From: SDR-Radio-TestTeam@groups.io <SDR-Radio-TestTeam@groups.io> On Behalf Of Nils Schiffhauer
Sent: 02 January 2022 17:37
To: SDR-Radio-TestTeam@groups.io; main@SDR-Radio.groups.io
Subject: [SDR-Radio-TestTeam] SDRC Bitmap Display - short intro

Hi, all - thanks to Simon for another year having pushed the limits of SDRs and DXing forward and forward!
His "Bitmap Display" surprised me that I needed a moment to get a grip of it and its possible applications.
See the results on my website. With some screenshots, this entry is also meant to work as a quick starter:
https://dk8ok.org/2022/01/02/sdrc-new-bitmap-display-helps-to-raise-dx/

Happy New Year to all and 73: Nils, DK8OK

--
dk8ok.org









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Re: [SDR-Radio-TestTeam] SDRC Bitmap Display - short intro

Jerry Lofstead W3CDE
 

cONGRATS ON 65  I just turned 81 and am looking for 94 per the life tables 8-)

Jerry
W3CDE

On Sun, Jan 2, 2022 at 12:44 PM Simon Brown <simon@...> wrote:
One thing,

I'll be 65 this year so who knows how long I'll be writing code. There are many things that could be written, I must concentrate on those which I really have a desire to write.

Simon Brown, G4ELI
https://www.sdr-radio.com

-----Original Message-----
From: SDR-Radio-TestTeam@groups.io <SDR-Radio-TestTeam@groups.io> On Behalf Of Nils Schiffhauer
Sent: 02 January 2022 17:37
To: SDR-Radio-TestTeam@groups.io; main@SDR-Radio.groups.io
Subject: [SDR-Radio-TestTeam] SDRC Bitmap Display - short intro

Hi, all - thanks to Simon for another year having pushed the limits of SDRs and DXing forward and forward!
His "Bitmap Display" surprised me that I needed a moment to get a grip of it and its possible applications.
See the results on my website. With some screenshots, this entry is also meant to work as a quick starter:
https://dk8ok.org/2022/01/02/sdrc-new-bitmap-display-helps-to-raise-dx/

Happy New Year to all and 73: Nils, DK8OK

--
dk8ok.org









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






Re: Happy New Year

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

 


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Re: [SDR-Radio-TestTeam] SDRC Bitmap Display - short intro

Nils Schiffhauer
 

… with 66 now, I can say there is no rite de passage …
But for being as young as 65, your decision sounds already wise. Follow it!
Thanks & 73: Nils, DK8OK


Am 02.01.22 um 18:44 schrieb Simon Brown

One thing,

I'll be 65 this year so who knows how long I'll be writing code. There are many things that could be written, I must concentrate on those which I really have a desire to write.

Simon Brown, G4ELI
https://www.sdr-radio.com

-----Original Message-----
From: SDR-Radio-TestTeam@groups.io <SDR-Radio-TestTeam@groups.io> On Behalf Of Nils Schiffhauer
Sent: 02 January 2022 17:37
To: SDR-Radio-TestTeam@groups.io; main@SDR-Radio.groups.io
Subject: [SDR-Radio-TestTeam] SDRC Bitmap Display - short intro

Hi, all - thanks to Simon for another year having pushed the limits of SDRs and DXing forward and forward!
His "Bitmap Display" surprised me that I needed a moment to get a grip of it and its possible applications.
See the results on my website. With some screenshots, this entry is also meant to work as a quick starter:
https://dk8ok.org/2022/01/02/sdrc-new-bitmap-display-helps-to-raise-dx/

Happy New Year to all and 73: Nils, DK8OK

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






Re: Happy New Year

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

 


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Re: Happy New Year

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

 


--

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--

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


--

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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.


--

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

 


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


Re: [SDR-Radio-TestTeam] SDRC Bitmap Display - short intro

Simon Brown
 

One thing,

I'll be 65 this year so who knows how long I'll be writing code. There are many things that could be written, I must concentrate on those which I really have a desire to write.

Simon Brown, G4ELI
https://www.sdr-radio.com

-----Original Message-----
From: SDR-Radio-TestTeam@groups.io <SDR-Radio-TestTeam@groups.io> On Behalf Of Nils Schiffhauer
Sent: 02 January 2022 17:37
To: SDR-Radio-TestTeam@groups.io; main@SDR-Radio.groups.io
Subject: [SDR-Radio-TestTeam] SDRC Bitmap Display - short intro

Hi, all - thanks to Simon for another year having pushed the limits of SDRs and DXing forward and forward!
His "Bitmap Display" surprised me that I needed a moment to get a grip of it and its possible applications.
See the results on my website. With some screenshots, this entry is also meant to work as a quick starter:
https://dk8ok.org/2022/01/02/sdrc-new-bitmap-display-helps-to-raise-dx/

Happy New Year to all and 73: Nils, DK8OK

--
dk8ok.org









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


Re: Happy New Year

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

 


--

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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.


SDRC Bitmap Display - short intro

Nils Schiffhauer
 

Hi, all - thanks to Simon for another year having pushed the limits of SDRs and DXing forward and forward!
His "Bitmap Display" surprised me that I needed a moment to get a grip of it and its possible applications.
See the results on my website. With some screenshots, this entry is also meant to work as a quick starter:
https://dk8ok.org/2022/01/02/sdrc-new-bitmap-display-helps-to-raise-dx/

Happy New Year to all and 73: Nils, DK8OK

--
dk8ok.org


Re: Happy New Year

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.


Re: Happy New Year

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.


Re: Happy New Year

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.


Re: Happy New Year

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.


Re: SDR Console down conversion Option (external radio settings)

Attila Baloglu
 

I prefer to use different identities, gain and many other parameters are much more fitting the used band…

All is working well now… thank you

73 Attila DC0ED

Am 02.01.2022 um 17:10 schrieb Siegfried Jackstien <siegfried.jackstien@...>:



when you tune to 2m or 70cm the converter is ignored (cause -929mhz would give a negative result) and when tuned to 23 cm the converter is used (and sdr is tuned to 3xx mhz)

so you should not need to use two different settings ... all should work well (after a bit of finetune)

also to you a happy new year

dg9bfc sigi

Am 02.01.2022 um 16:14 schrieb Attila Baloglu via groups.io:
Dear Sigi,

happy new year and thanks for the hint, it is working fine now…

73 Attila DC0ED

Am 30.12.2021 um 21:19 schrieb Attila Baloglu via groups.io <dc0ed@...>:


Ok you mean a converter definition in the SDR definition itself..  I will try it… As I‘m working with different identities in SDR Console this could be a perfect solution..

73 Attila DC0ED

Am 30.12.2021 um 20:56 schrieb Siegfried Jackstien <siegfried.jackstien@...>:


No.. I mean when you start the sdr.. Start with converter offset. Not the icom... The sdr!! 
Dg9bfc sigi 

Am 30.12.2021 19:48 schrieb "Attila Baloglu via groups.io" <dc0ed@...>:

Dear Sigi,

you mean setting the offset in the Icom IC9700? I will try it, maybe a workaround until it works in SDR Console.. I‘m a bit curious about the tracking with the offset in the TRX, but we will see…

I keep you informed..

73 Attila DC0ED

> Am 30.12.2021 um 19:30 schrieb Siegfried Jackstien <siegfried.jackstien@...>:
> 
> Converter in radui definitions could be used.
> Set the needed offset for 23cm band.
> Start radio with that offset.
> On 2m and 70cm the offset is not used (ignored) while on 23cm it is used.
> Works similar ob qo100.
> When you start with offset... You still can receive on 740 megs.
> Sdr console tries to use offset.. But if that gives a negative result the offset is not used
> Try it... It should work.
> Dg9bfc sigi







Re: SDR Console down conversion Option (external radio settings)

Siegfried Jackstien
 

when you tune to 2m or 70cm the converter is ignored (cause -929mhz would give a negative result) and when tuned to 23 cm the converter is used (and sdr is tuned to 3xx mhz)

so you should not need to use two different settings ... all should work well (after a bit of finetune)

also to you a happy new year

dg9bfc sigi

Am 02.01.2022 um 16:14 schrieb Attila Baloglu via groups.io:

Dear Sigi,

happy new year and thanks for the hint, it is working fine now…

73 Attila DC0ED

Am 30.12.2021 um 21:19 schrieb Attila Baloglu via groups.io <dc0ed@...>:


Ok you mean a converter definition in the SDR definition itself..  I will try it… As I‘m working with different identities in SDR Console this could be a perfect solution..

73 Attila DC0ED

Am 30.12.2021 um 20:56 schrieb Siegfried Jackstien <siegfried.jackstien@...>:


No.. I mean when you start the sdr.. Start with converter offset. Not the icom... The sdr!! 
Dg9bfc sigi 

Am 30.12.2021 19:48 schrieb "Attila Baloglu via groups.io" <dc0ed@...>:

Dear Sigi,

you mean setting the offset in the Icom IC9700? I will try it, maybe a workaround until it works in SDR Console.. I‘m a bit curious about the tracking with the offset in the TRX, but we will see…

I keep you informed..

73 Attila DC0ED

> Am 30.12.2021 um 19:30 schrieb Siegfried Jackstien <siegfried.jackstien@...>:
> 
> Converter in radui definitions could be used.
> Set the needed offset for 23cm band.
> Start radio with that offset.
> On 2m and 70cm the offset is not used (ignored) while on 23cm it is used.
> Works similar ob qo100.
> When you start with offset... You still can receive on 740 megs.
> Sdr console tries to use offset.. But if that gives a negative result the offset is not used
> Try it... It should work.
> Dg9bfc sigi







Re: SDR Console down conversion Option (external radio settings)

Attila Baloglu
 

Dear Sigi,

happy new year and thanks for the hint, it is working fine now…

73 Attila DC0ED

Am 30.12.2021 um 21:19 schrieb Attila Baloglu via groups.io <dc0ed@...>:


Ok you mean a converter definition in the SDR definition itself..  I will try it… As I‘m working with different identities in SDR Console this could be a perfect solution..

73 Attila DC0ED

Am 30.12.2021 um 20:56 schrieb Siegfried Jackstien <siegfried.jackstien@...>:


No.. I mean when you start the sdr.. Start with converter offset. Not the icom... The sdr!! 
Dg9bfc sigi 

Am 30.12.2021 19:48 schrieb "Attila Baloglu via groups.io" <dc0ed@...>:

Dear Sigi,

you mean setting the offset in the Icom IC9700? I will try it, maybe a workaround until it works in SDR Console.. I‘m a bit curious about the tracking with the offset in the TRX, but we will see…

I keep you informed..

73 Attila DC0ED

> Am 30.12.2021 um 19:30 schrieb Siegfried Jackstien <siegfried.jackstien@...>:
> 
> Converter in radui definitions could be used.
> Set the needed offset for 23cm band.
> Start radio with that offset.
> On 2m and 70cm the offset is not used (ignored) while on 23cm it is used.
> Works similar ob qo100.
> When you start with offset... You still can receive on 740 megs.
> Sdr console tries to use offset.. But if that gives a negative result the offset is not used
> Try it... It should work.
> Dg9bfc sigi







Re: NDB - Airspy HF+ DIscovery versus Hermes Lite 2

sm6fhz
 

Thanks :-)
I am using a 135 m terminated Beverage beaming in 310 degrees and a AFEDRI Net.
It is the antenna I use for MW DX for TA-stations. It beams into the Mid-west of the US.
I only have abt 43 km to the SAQ site. It is almost exactly in the back of the antenna.
You can hear / see the key up to key down ratio of SAQ quite clear in the recording. A lot of leakage :-)
73 / Ingolf


Re: NDB - Airspy HF+ DIscovery versus Hermes Lite 2

Simon Brown
 

Very nice 😊 – what’s the antenna?

 

 

Simon Brown, G4ELI

https://www.sdr-radio.com

 

From: main@SDR-Radio.groups.io <main@SDR-Radio.groups.io> On Behalf Of sm6fhz
Sent: 02 January 2022 13:58
To: main@SDR-Radio.groups.io
Subject: Re: [SDR-Radio] NDB - Airspy HF+ DIscovery versus Hermes Lite 2

 

Hi Max.
This is what SAQ sounded like at my QTH.
1 MB IQ-recording attached. Play with SDRconsole.
73 / Ingolf, SM6FHZ


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


Re: NDB - Airspy HF+ DIscovery versus Hermes Lite 2

sm6fhz
 

Hi Max.
This is what SAQ sounded like at my QTH.
1 MB IQ-recording attached. Play with SDRconsole.
73 / Ingolf, SM6FHZ

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