NDLI: Analysis and comparative evaluation of techniques for multichannel blind deconvolution

Content Provider	IEEE Xplore Digital Library
Author	Harikumar, G. Bresler, Y.
Copyright Year	1996
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Illinois Univ., Urbana, IL, USA (Harikumar, G.; Bresler, Y.)
Abstract	Deterministic multichannel blind deconvolution is an important problem arising in numerous areas of engineering. Two different approaches to solving this problem, maximum likelihood techniques (like IQML) and subspace techniques (like EVAM), have been proposed previously. These methods are theoretically elegant and computationally efficient, and questions arise as to what the properties of these estimators are. We attempt to answer some of these questions. We show that the subspace based EVAM estimator is a coarse approximation of the lQML estimator. We present a new iterative scheme to compute the ML estimator; and Cramer-Rao bounds for the channel and input estimates. In addition, we present a Monte-Carlo comparison study of the two estimators and establish the superiority of ML based techniques.
Starting Page	332
Ending Page	335
File Size	394449
Page Count	4
File Format	PDF
ISBN	0818675764
DOI	10.1109/SSAP.1996.534884
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1996-06-24
Publisher Place	Greece
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Deconvolution Maximum likelihood estimation Equations Acoustical engineering Acoustic signal processing Convolution Blind equalizers Communication systems Image restoration Finite impulse response filter
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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