Hello Joe, Steve, and all,

With the experiments I have been doing with WSPR on the Raspberry-Pi, I
have implemented a simple spot feeder to wsprnet and have been thinking
about adding a mechanism to check if a spot just received is in the
ALL_WSPR.TXT before sending the spot to wsprnet. This would perhaps filter
off most false spots. The draw back is that the first reception of a valid
spot would no be forwarded. But since the likelihood of receiving only a
single spot is unlikely, once the fist spot is received for a call, all
subsequent spots would be sent to wsprnet.

73, Edson PY2SDR


---
- We humans have the capability to do amazing things if we work together.
- Nós seres humanos temos a capacidade de fazer coisas incríveis se
trabalharmos juntos.

On Fri, Jul 31, 2015 at 11:11 AM, Joe Taylor <j...@princeton.edu> wrote:

> Hi Steve,
>
> Interesting results.  We should definitely pay a bit more attention to
> the false decodes.  Maybe setting "bias" as low as 0.42 is not a good idea?
>
>         -- Joe
>
> On 7/30/2015 11:25 PM, Steven Franke wrote:
> > Joe,
> > Here are my results for your data set. I ran 3 cases. The execution
> times are the average of two runs.
> >
> > Cases
> > 1. wsprd
> > 2. wsprd_exp (Fano, 10000 cycles)
> > 3. wsprd_exp (Jelinek, 5000 cycles)
> >
> > Results
> > 1. 2657 (2) decodes in 359s
> > 2. 2760 (13) decodes in 359s
> > 3. 2749 (3) decodes in 346s
> >
> > The interesting part is the number in parentheses. This time, I paid
> attention to the number of obviously bad decodes. It’s not easy to find the
> bad decodes that show up as type 1 callsigns - but it is easy to find and
> count the ones that show up as type 2 or 3 callsigns with a forward slash
> “/“. The number in parentheses is the number of bad decodes with a slash in
> the callsign. It needs to be said that we see only the bad decodes that
> aren’t trapped by a sanity check in the unpacking routines.
> >
> > There is something funny going on with the Fano decoder in case 2. Here
> is the result of doing a grep for “/“ in the ALL_WSPR results from the
> three cases:
> >
> > Case 1. wsprd
> > $ grep / Results_wsprd
> > 0342 -28 0.5 0.001523 0 PH6/OK1SCE 10
> > 0630 -14 -0.8 0.001518 0 M0N/BX6IJG 30
> >
> > Case 2. wsprd_exp Fano
> > $ grep / Results_Fano.txt
> > 0114 -16 -0.3 0.001524 0 88Y/9E3XMR 33
> > 0148 -22 -0.9 0.001523 0 C4S/U23 27
> > 0512 -12 -1.4 0.001544 -1 EYJ/BD3OWF 43
> > 0526 -5 -1.1 0.001515 -1 J28/JH9VOA 10
> > 0530 -10 -1.3 0.001527 -1 XIR/L12IRI 57
> > 0534 -21 0.1 0.001451 0 5EY/588TIB 53
> > 0540 -9 -1.3 0.001498 -1 286/CI7RCI 13
> > 0614 -8 -1.2 0.001523 -1 W64/CZ9IYO 13
> > 0616 -31 -1.0 0.001491 0 M2Q/ZG4VPX 13
> > 0704 -10 -1.3 0.001550 -1 KN4OHP/44 53
> > 0746 -8 -1.4 0.001525 -1 ATD/012KCR 27
> > 0856 -19 -0.8 0.001523 0 I02/VK3PNP 20
> > 1400 -17 -0.5 0.001459 0 P2INE/2 53
> >
> > Case 3. wsprd_exp Jelinek
> > $ grep / Results_Jelinek5000.txt
> > 0114 -16 -0.3 0.001524 0 88Y/9E3XMR 33
> > 0616 -31 -1.0 0.001491 0 M2Q/ZG4VPX 13
> > 0654 -12 -1.3 0.001523 -1 1LY/GH4 40
> >
> > Note the large number of bad decodes coming out of the Fano decoder in
> case 2. There is only one bad decode that is common to cases 2 and 3. If
> you look at the times, it appears that the bad decodes in case 2 are coming
> in bursts. I have to wonder if this corresponds to special noise
> conditions, e.g. lightning storm.
> >
> > It’s hard to reconcile the large difference in bad decodes between pairs
> 1-2 and 2-3. In 1-2 the decoding algorithm is the same and in 2-3 the
> candidates are the same.  Strange, eh?
> >
> > I’ve just gone back and looked at bad decodes using the same
> “forward-slash” criterion on two groups of my own wav files and in each
> case I see either 2 or 3 bad decodes out of about 2000 for Fano and
> Jelinek. There are no big differences between the number of bad decodes in
> cases 1-3 for my test data. Still strange.
> >
> > Steve k9an
>
>
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