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Humans have an advantage. We understand context and
current AI implementations don't come close to understanding
context. That is subject to change.
On 20220102 09:19:43, Siegfried
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
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 ;-)
Greetings Sigi dg9bfc
Am 01.01.2022 um 17:35 schrieb Simon
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…’
Happy 2022 to all. May good SDR things
happen this year. Good luck Simon on the CW decoder. It’s
Jan 1, 2022, at 9:02 AM, Simon Brown <simon@...>
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
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