The knowledge of the noise Power Spectral Density is fundamental in signal processing for the detection algorithms and for the analysis of the data. In this lecture we address both the problem of identifying the noise Power Spectral Density of physical system using parametric techniques and the problem of the whitening procedure of the sequence of data in time domain.
CUOCO E (2006). Parametric Spectral Estimation and Data Whitening. Berlino : Springer.
Parametric Spectral Estimation and Data Whitening
CUOCO E
2006
Abstract
The knowledge of the noise Power Spectral Density is fundamental in signal processing for the detection algorithms and for the analysis of the data. In this lecture we address both the problem of identifying the noise Power Spectral Density of physical system using parametric techniques and the problem of the whitening procedure of the sequence of data in time domain.File in questo prodotto:
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