For anyone interested in Autoencoders,
I can recommend chapter 17 of "hands on machine learning with sckit"
ISBN 978-1-492-03264-9
or
David you might be able to recommend a good online , accessable source ?
the following can provide some good starting points :
https://medium.com/search?q=un
Hi Glen,
Yes indeed it can be trained to any channel you like. We've been doing
some work for the VHF/UHF land mobile radio (LMR) space where it's
trained to pass through analog FM radios (see freedv.org blog posts,
search on BBFM).
Greg - I suspect the final form of this technology arc will be
Greg, interesting though on speaker dependent fine tuned decoders (I
think that's what you meant ?). Would mean for you buddies you could
store something different and buy them another half dB on their
transmit power bill.
and suitable implementation for some other optimised band/propagation
There is also non-trivial channel specific DSP development likely needed
too, not just ML training-- as the ML still relies on the receiver managing
to sync and track the signal. Maybe a ML only adjustment for a different
channel would be better than doing nothing, but it probably won't get
partic
Hi David
Have just read all the papers.. as i read it ,
(https://arxiv.org/pdf/2505.06671)
we could alternatively train the system for say aurora channel
characteristsics on 2m , or rainscatter characteristics on 10 GHz
and could expand or use different training sets for different
propag
