Is there a handy "one pager" kind of explanation of noise spectra after
some forms of signal processing..
For instance, if you have a oscillator which has a 1/f characteristic,
and you mix it with itself, what is the spectra of the output of the mixer.
Or if you have a 1/f^3 characteristic (e.g. from a crystal oscillator,
very close in) or a 1/f^2 (from a VCO).
Specifically, I've got some folks working with homodyne radars (where
you demodulate the received signal with a sample of the transmitted
signal, but sometimes with an offset mixed in, etc.) and I'm looking for
a quick intro to this kind of thing at a sort of
empirical/phenomenological as opposed to analytical..
"If you see X on a spectrum analyzer or FFT, it is because of Y"...
Similarly, they're building PLLs and know about the 20log10(N) thing,
but what should the shape of things underneath be.
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