DocumentCode :
832999
Title :
Smoothed nonparametric spectral estimation via cepsturm thresholding - Introduction of a method for smoothed nonparametric spectral estimation
Author :
Stoica, Petre ; Sandgren, Niclas
Author_Institution :
Dept. of Inf. Technol., Uppsala Univ.
Volume :
23
Issue :
6
fYear :
2006
Firstpage :
34
Lastpage :
45
Abstract :
Cepstrum thresholding is shown to be an effective, automatic way of obtaining a smoothed nonparametric estimate of the spectrum of a stationary signal. In the process of introducing the cepstrum thresholding-based spectral estimator, we discuss a number of results on the cepstrum of a stationary signal, which might also be of interest to researchers in spectral analysis and allied topics, such as speech processing
Keywords :
cepstral analysis; smoothing methods; cepstrum thresholding; smoothed nonparametric spectral estimation; spectral analysis; speech processing; stationary signal; Cepstrum; Covariance matrix; Fast Fourier transforms; Frequency domain analysis; Guidelines; Signal processing; Signal processing algorithms; Smoothing methods; Spectral analysis; Speech processing;
fLanguage :
English
Journal_Title :
Signal Processing Magazine, IEEE
Publisher :
ieee
ISSN :
1053-5888
Type :
jour
DOI :
10.1109/SP-M.2006.248710
Filename :
4015563
Link To Document :
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