- #1
0xDEADBEEF
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I have a system that acts as a low pass. I know the transient response quite well, and I am trying to do a Wiener deconvolution on the measurement data. I expect a clean signal with a few jumps and bursts. Basically piecewise continuous, with the occasional peak. For the Wiener deconvolution I need the spectral power density of the expected signal, and the spectral power density of the noise.
The noise looks white falling a bit at the high frequencies. Is there a somewhat generic term to use for the spectral power density of a generic signal? Maybe 1/abs(f+epsilon). I could simulate a bit, but maybe someone here has used deconvolution and knows what kind of power densities tend to work well, and how sensitive the outcome is to this.
Also: How well do these deconvolutions work, and what are the biggest problems?
The noise looks white falling a bit at the high frequencies. Is there a somewhat generic term to use for the spectral power density of a generic signal? Maybe 1/abs(f+epsilon). I could simulate a bit, but maybe someone here has used deconvolution and knows what kind of power densities tend to work well, and how sensitive the outcome is to this.
Also: How well do these deconvolutions work, and what are the biggest problems?