Sounds great. Did you check in your code on a Berlios "GIT" branch ? It might help other developers to see your code.
Thanks Remi On Tue, May 15, 2012 at 5:24 AM, Mauri Niininen <[email protected]> wrote: > I have implemented two new experimental features to improve CW detection and > decoding capabilities in FLDIGI softare. > > 1) Matched Filter feature improves signal-to-noise making barely audible > morse code detection to work better in FLDIGI CW mode. > > 2) Self Organized Map feature is using an artificial neural network > algorithm from SOM (see http://en.wikipedia.org/wiki/Self-organizing_map ) > to calculate best matching codebook entry from input vector using Euclidian > distance method. > > I have documented these experimental features in my blog as well as test > results: > > http://ag1le.blogspot.com/2012/05/fldigi-adding-matched-filter-feature-to.html > > > The software is pre alpha quality and not ready for broader distribution. > If you have interest in testing/improving this software let me know. > > > 73 de > Mauri AG1LE_______________________________________________ > fldigi-alpha mailing list > [email protected] > https://lists.berlios.de/mailman/listinfo/fldigi-alpha _______________________________________________ fldigi-alpha mailing list [email protected] https://lists.berlios.de/mailman/listinfo/fldigi-alpha
