I don't think I'm really looking at something a lot different -- probably I need to do some more building and measuring and analyzing.

I was thinking that 2kHz to 3kHz would contain both a good amount of noise, be below the pass-band cut-off , and have enough voice components in it.... That was a wild guess based on the Spetra-TAC voter working above 2kHz with the theory of operation section describing, essentially, a fair amount of noise and mostly vocal harmonics with less energy, though it still looks for valleys.

My thinking on the peak-valley thing worked like this and I'M probably the one not thinking clearly: I know voice isn't a "tone" but I'll use the tone concept for simplicity -- I'm essentially freezing a couple of moments in time, so that's cool? If I have that ubiquitous 1kHz audio signal modulated at +/- 3kHz fed to two receivers, and dead carrier -- my two "test cases" if you will. If one receiver is considerably more quieted than the other then:

When there is dead air, the valley would be detected. The noisy receiver would show a "higher" level -- more energy in the audio spectrum than the less noisy. Low level is best signal.

When the 1kHz +/-3kHz audio signal is present, the noisy receiver would show a "higher" level -- more energy in the audio spectrum due to the signal + noise component. Lower level is the best signal.

Here's where I'm probably making a mistake: The "energy" in the audio spectrum is the intelligence (signal) energy + noise energy at any time t. Am I missing something where the intelligence energy is reduced on a noisy signal or something?

Seriously, I am doing building and measuring, but don't have the experience of the group, and also may not be using some terms correctly.

On Jun 20, 2008, at 5:52 PM, Jeff DePolo wrote:

> Not quite enough of a programmer to take on the DSP, but will
> likely look at the peaks and valleys with the ADC. I'm not
> sure why I'd need more than one noise circuit though. I don't
> want to do a sample and hold, the ADC and software can do
> that. I was thinking build one analog circuit and look for
> valleys and peaks when the ADC reads the analog circuit
> output -- that is to say, keep track of the highest level and
> lowest level over a certain very short time period

I'm not sure I follow. I would think that for peak and valley detection to work right, you need to look at the voice spectrum, not the noise spectrum, and use the ratio of the peaks to valleys to compute a value indicitive of the S/N, and then compare S/N values among the active channels to determine
which gets voted. I think that this kind of peak to valley ratioed
comparison would help "even out" differences in audio levels between
receivers (since you're comparing ratios, not absolute levels). I would
also think that by looking at the audio passband alone, it would also
minimize the detrimental effect of frequency response differences between sources, particulary with regard to the typical high-end rolloff above the audio passband for sources backhauled across links as compared to the local
receiver, which is often the most challenging obstacle to overcome as
mentioned previously.

If you look at only the noise spectrum, then peaks and valleys don't have much relevance; you would only be able to compare the average noise levels to determine which channel gets voted. This is way the LDG is designed. If you look at the noise spectrum only, audio that is full-quieting would have a peak to valley ratio approaching unity, but so would a hissy, but stable, signal. But if you looked at the voice spectrum, the full-quieting signal would have a greater ratio between peaks and valleys than would one with a
steady hiss behind the audio.

Maybe you're suggesting something completely different and it went over my
head?

--- Jeff




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Cort Buffington
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