On 9/26/2009 10:46:28 AM, jmG wrote:
>On 9/26/2009 7:26:26 AM, lcpoon wrote:
>>Attached is the worksheet. I
>>would like to get the PSD for
>>the sampled data output (SDO)
>>after the quantizer.
>______________________________
>
>What you are looking for does not add up
>!
>
>"Sampled data" are already digitized,
>otherwise you wouldn't have data, then
>quantization does not apply anymore
>because quantization is part of the
>digitization process itself. Apply PSD
>on the vector of the collected data
>which vector of data is
>"quantized/digitized".
>
>jmG
>===============================
Read + ...
In statistical signal processing and physics, the spectral density, power spectral density (PSD), or energy spectral density (ESD), is a positive real function of a frequency variable associated with a stationary stochastic process, or a deterministic function of time, which has dimensions of power per Hz, or energy per Hz. It is often called simply the spectrum of the signal. Intuitively, the spectral density captures the frequency content of a stochastic process and helps identify periodicities.
The PSD is the Fourier transform of the autocorrelation function, R(�), of the signal if the signal can be treated as a wide-sense stationary random process.[4]
http://www.delmarnorth.com/namaste/requirements/Namaste_Link_Analysis.pdfMathcad implementation [Signal Processing]
pspectrum(x, n, r, [w])
coherence(x, y, n, r, [w])
cspectrum(x, y, n, r, [w])
snr(x, y, n, r, [w])
The corresponding work sheet added.
If you are in that kind of stuff,
better download the extension pack !
jmG