In message <[email protected]>, dated 
Thu, 17 Aug 2006, [email protected] writes

>Let's say that you have a high resolution imaging system.  The system 
>has a focal plane array that detects IR radiation...the signals from 
>this array are read out as a clocked analog data stream. i.e. each 
>pixel gives an analog value when it is read.
>
>This clocked analog stream goes through an A/D converter.
>
>The sampling/clock rates are all set so that the eventual output of 
>this imager is a completely digital data stream that is sent out as 
>NSTC video.

But NTSC is analogue. You must D/A the digits and then add them to the 
NTSC syncs. What else have you left out of your description?
>
>The video is piped out of the imager to a display via coax cable.
>
>Here's the problem.  The display shows what appears to be a "light 
>snow-like" noise.

Could that be background IR emission from the surroundings of the 
imager?
>
>I'm thinking about some analytical and measurement methods that could 
>be used to track down the noise source.
>
>What would happen if I fed the video signal directly to a Spectrum 
>Analyzer???  I'm assuming that I would have to install a "pad" on the 
>spectrum analyzer input to attenuate the signal and help to impedance 
>match the 75 Ohm coax with the 50 Ohm spectrum analyzer input.

Your spectrum analyser will surely handle a volt of input signal? And I 
wouldn't worry too much about the mismatch, because I doubt that the 
spectrum analyser will tell you much about the noise. You may well be 
surprised at what you DO see (see below).
>
>It seems to me that we may be able to detect some frequency peaks that 
>persist even if we change the scene that the camera is looking 
>at...maybe these peaks would point us toward the noise source in our 
>system?

'Snow-like' noise probably won't have any frequency peaks other than are 
generated by the NTSC waveform construction. You do know that the video 
signal is, in the frequency domain, a sequence of harmonics of the field 
and line frequencies, with the video information as sidebands? You are 
NEVER going to see quasi-random signals in amongst all that.
>
>
>What about an FFT?  What would be the feasibility of grabbing a subset 
>of the data and performing an FFT on it?  Since the noise is all over; 
>it doesn't seem to me that we would have to perform the FFT on all 
>65,000 points of pixel data.  Maybe we could use a 100x100 subset near 
>the center of the image?

I really don't advise going down that route!
>
>Of course, I've also instructed my friend who is working on this to run 
>a wet finger over the circuits while the video is running to see if he 
>can crudely locate the noise source by looking for a change in the snow 
>on the screen.

How about pointing the imager at the interior of your freezer and seeing 
if the noise goes away then?
>
>Here's another question for those of you who are more familiar with 
>video than myself.  Is there an intuitive method of homing in on the 
>noise freqencies by looking at how the noise appears?  For instance, 
>our noise is a sort of granular "snow" that drifts on the screen...it 
>doesn't stay still.

There are intuitive methods, but the only way I can see to pass on the 
intuition would be to actually show you the various effects and explain 
what causes them. Descriptions in words just don't work.
-- 
OOO - Own Opinions Only. Try www.jmwa.demon.co.uk and www.isce.org.uk
2006 is YMMVI- Your mileage may vary immensely.

John Woodgate, J M Woodgate and Associates, Rayleigh, Essex UK

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