Can you do a plot of p1 vs p2 and show one plot with errors and one with correct? Since you have p1 in both axes you automatically get a correlation between them.
And could you post a link to download the data you have with p1/p2/error/correct? Thanks Mike W9MDB On Sat, Sep 26, 2015 at 3:49 PM, Steven Franke <s.j.fra...@icloud.com> wrote: > Joe - > > Just FYI - two plots attached. These are 2D histograms of the symbol rank > and p2/p1 ratio for all symbols associated with successfully decoded files > from my batch of 1000 JTSim files with SNR=-24dB. Note that each of these > quantities (rank, p2/p1) is invariant under any multiplicative scaling > factor applied to both p1 and p2. > > x-axis is the symbol's p1-rank. Lowest rank corresponds to highest p1. > > y-axis is p2/p1. > > The first plot, with yellow concentrated in the upper right is for symbols > that were in error. The second plot, with yellow in the lower left is for > symbols that are correct. > > Using the insight provided by these plots, I now have 709/1000 decodes for > the batch of 1000 JTSim files at -24dB. This is using WSJT10, sfrsd, SFM > and ntrials=10000. The erasure proabilities are assigned .by carving up the > plane into 4 regions, and assigning the highest erasure probability to the > upper right. That’s still without using the mr2sym’s. > > Getting closer! As time permits, I’ll see if I can reproduce these results > using your sfrsd2 and rsdtest. > > Steve k9an > > On Sep 26, 2015, at 10:27 AM, Joe Taylor <j...@princeton.edu> wrote: > > 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 > > > > > ------------------------------------------------------------------------------ > > _______________________________________________ > wsjt-devel mailing list > wsjt-devel@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/wsjt-devel > >
------------------------------------------------------------------------------
_______________________________________________ wsjt-devel mailing list wsjt-devel@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/wsjt-devel
