NDLI: Adaptive minimum entropy decomposition on the time-frequency plane

Content Provider	IEEE Xplore Digital Library
Author	Zeyong Shan Aviyente, S.
Copyright Year	2002
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Michigan State Univ., East Lansing, MI (Zeyong Shan; Aviyente, S.)
Abstract	In many applications, such as array processing and sensor networks, it is desirable to extract the source signals that generate the observed output signals. Some common approaches include principal component analysis, which assumes uncorrelated source signals, and independent component analysis, which assumes the independence of the underlying sources. In recent years, there has been efforts to perform source separation in the time-frequency domain since most real life signals of interest are non-stationary (A. Belouchrani and M.G. Amin, 1998). In this paper, we introduce one such component extraction approach on the time-frequency plane. The proposed approach extracts components that are well-concentrated on the time-frequency plane. In order to quantify the compactness or the concentration of the extracted components, we use the entropy measure as adapted to the time-frequency distributions. It has been shown that signals which achieve minimum entropy on the time-frequency plane are Gabor logons. Based on this idea, we propose an adaptive Gabor logon extraction method from a given set of observed signals. The proposed method extracts the most significant Gabor logons as the components using an adaptive filtering approach. The method is applied on an example data set to show the effectiveness of the component extraction algorithm
Starting Page	861
Ending Page	864
File Size	172900
Page Count	4
File Format	PDF
ISBN	0780394038
DOI	10.1109/SSP.2005.1628714
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-07-17
Publisher Place	Russia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Entropy Time frequency analysis Data mining Signal processing Array signal processing Sensor arrays Signal generators Principal component analysis Independent component analysis Source separation
Content Type	Text
Resource Type	Article

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