DocumentCode
894766
Title
An experimental comparison between maximum entropy and minimum relative-entropy spectral analysis
Author
Zhuang, Xinhua ; Chen, Ling ; Chen, Su-Shing
Author_Institution
Dept. of Electr. & Comput. Eng., Missouri Univ., Columbia, MO, USA
Volume
41
Issue
4
fYear
1993
fDate
4/1/1993 12:00:00 AM
Firstpage
1730
Lastpage
1734
Abstract
It is known that the minimum relative-entropy spectral analysis (MRESA) of J.E. Shore and R.W. Johnson (1980) and J.E. Shore (1981) provides an even better power spectrum estimation than the maximum entropy spectral analysis (MESA) by its explicit inclusion of a prior estimate that catches certain important shape features of the unknown true power spectrum. Since the kinds of prior estimates that catch certain important shape features of the unknown true power spectrum are generally hard to determine, a comparison between MESA and MRESA is undertaken in order to justify MRESA. The results indicate that unless the shape information of the true spectrum is correctly caught by the prior spectrum, it is safer to use MESA
Keywords
information theory; spectral analysis; MESA; MRESA; maximum entropy spectral analysis; minimum relative-entropy spectral analysis; power spectrum estimation; Analytical models; Autocorrelation; Computer science; Entropy; Noise shaping; Shape; Spectral analysis;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/78.212758
Filename
212758
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