NDLI: Blind source recovery using an adaptive generalized Gaussian score function

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Volume 1 - 2002

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Blind source recovery using an adaptive generalized Gaussian score function

Content Provider	IEEE Xplore Digital Library
Author	Waheed, K. Salam, F.M.
Copyright Year	2002
Description	Author affiliation: Circuits, Syst. & Artificial Neural Networks Lab., Michigan State Univ., East Lansing, MI, USA (Waheed, K.; Salam, F.M.)
Abstract	The paper discusses blind source recovery (BSR) of minimum phase and non-minimum phase mixtures of multiple source distributions using an adaptive score function. This proposed parametric score function is derived from the generalized Gaussian distribution model. An adaptive algorithm to determine the tuning parameter for the proposed score function using batch kurtosis of the BSR output is also presented. The primary advantage of the proposed framework is that it renders the adaptive estimation of the demixing network to be completely blind. No a priori information about the distribution structure of the original sources is required. Simulation examples verifying the proposed framework are also presented.
Sponsorship	IEEE Circuits & Syst. Soc. School of Electr. & Comput. Eng. at Oklahoma State Univ
File Size	227536
File Format	PDF
ISBN	0780375238
DOI	10.1109/MWSCAS.2002.1186887
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-08-04
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Gaussian distribution State-space methods Adaptive estimation Signal processing algorithms Density functional theory Probability density function Circuits Artificial neural networks Laboratories Adaptive algorithm
Content Type	Text
Resource Type	Article

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