Hi Steve, On 9/26/2015 10:40 AM, Steven Franke wrote: > Don’t worry about it Joe - I tried scaling up my metrics by a factor > of 4 and then kvasd gave me 644 decodes. So it’s clear that kvasd > wants bigger numbers. For now, I’ll just focus on trying optimize sfrsd… > > Your rsdtest looks like a good way to do quick runs to test sfrsd. > At your leisure, can you point me to the s3_1000.bin file?
With SVN revision 5929 I have remade the s3_1000.bin file into "stream" format, which will make it easier to read in C. I posted a copy of the file at http://www.physics.princeton.edu/pulsar/K1JT/s3_1000.bin > I’m playing with “R” to do statistics on metrics. So far, it looks > like the rank of p1 (index of p1 in a sorted list) and the ratio > p2/p1 are the most powerful statistics for identifying symbols that > are likely to be in error - at least for the SFM. Great! I am looking at similar things, but in a different (largely qualitative) way. Will be interesting to see where this takes us. > Do you remember how you came up with the JTM? It looks like you > use exp(x) to expand the distribution of the power associated with > each symbol, and then normalize to the total exponentially-expanded > power. Was this chosen empirically? Or based on a certain model > for a fading channel? I think Ralf Koetter suggested the exp(x) to me; I think I also found it in a Viterbi book. The detailed parameter choices were purely empirical. We're not working with averaged transmissions yet, but the dependence on "nadd" is intended to allow for different statistics of elements of s3(i,j) when synchronized transmissions have been averaged. -- Joe ------------------------------------------------------------------------------ _______________________________________________ wsjt-devel mailing list wsjt-devel@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/wsjt-devel
