Displaying 2 results from an estimated 2 matches for "craming".
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framing
2011 Jul 29
1
How to interpret Kolmogorov-Smirnov stats
Hi,
Interpretation problem ! so what i did is by using the:
>fit1 <- fitdist(vectNorm,"beta")
Warning messages:
1: In dbeta(x, shape1, shape2, log) : NaNs produced
2: In dbeta(x, shape1, shape2, log) : NaNs produced
3: In dbeta(x, shape1, shape2, log) : NaNs produced
4: In dbeta(x, shape1, shape2, log) : NaNs produced
5: In dbeta(x, shape1, shape2, log) : NaNs produced
6: In
2004 Aug 06
1
frame size
...es = 320 bytes of PCM
> The size of the encoded data depends on the quality setting, so if you
> know for instance that you are using quality 3 on narrowband, that is
> 119 bits of encoded data per frame which is rounded to 15 bytes per
> frame (without counting the ogg headers).
and craming 160 samples into 15 bytes is amazing indeed.
But, it looks like it's not so very usefull:
Each package looks like (tcpdump -x -vvv output, with SpeexNarrow-8k{sw})
18:09:36.966518 kato.10018 > foko.5000: [udp sum ok] udp 32 (DF) [tos 0x10] (ttl 59, id 0, len 60)
4510 003c 00...