NDLI: Unbiased adaptive equalization: the Gaussian kernel contrast functions

Content Provider	IEEE Xplore Digital Library
Author	Chevreuil, A. Vignat, C.
Copyright Year	1999
Description	Author affiliation: Lab. Syst. de Commun., Univ. de Marne-La-Vallee, France (Chevreuil, A.)
Abstract	We address the issue of blind adaptive equalization. We introduce a class of cost functions which basically exploit the finite alphabet property of the source (we restrict ourselves to the case of BPSK sources). In an un-noisy context, we show that these cost functions are contrast functions in the sense that their maximizing arguments are delayed zero-forcing equalizers. When Gaussian noise is present, these Gaussian kernel cost functions show the property that under a suitable norm constraint of the equalizer, their maximizing arguments remain zero-forcing solutions. The results extend to the multi-source case, where the above-mentioned functions allow to extract a source and remove the ISI.
Starting Page	539
Ending Page	543
File Size	428415
Page Count	5
File Format	PDF
ISBN	0780357000
ISSN	10586393
DOI	10.1109/ACSSC.1999.832388
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1999-10-24
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Adaptive equalizers Kernel Cost function Gaussian noise Blind equalizers Signal to noise ratio Noise shaping Shape Filters Noise cancellation
Content Type	Text
Resource Type	Article
Subject	Signal Processing Computer Networks and Communications

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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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