ADAPTIVE IIR BLIND ALGORITHMS

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DC Field	Value	Language
dc.contributor.author	UENG, FB	en_US
dc.contributor.author	SU, YT	en_US
dc.date.accessioned	2014-12-08T15:03:19Z	-
dc.date.available	2014-12-08T15:03:19Z	-
dc.date.issued	1995-06-08	en_US
dc.identifier.issn	0013-5194	en_US
dc.identifier.uri	http://dx.doi.org/10.1049/el:19950688	en_US
dc.identifier.uri	http://hdl.handle.net/11536/1860	-
dc.description.abstract	Infinite impulse response (IIR) filtering, when compared with finite impulse response (FIR) filtering, can result in a substantial computational saving and small mean-squared error (MSE). Two IIR blind algorithms based on the second and fourth order cumulants are presented. Simulation results indicate that the proposed IIR blind algorithms not only have faster convergence rates but also lower MSEs than their FIR counterparts.	en_US
dc.language.iso	en_US	en_US
dc.subject	ADAPTIVE EQUALIZERS	en_US
dc.subject	ADAPTIVE FILTER	en_US
dc.subject	EQUALIZERS	en_US
dc.title	ADAPTIVE IIR BLIND ALGORITHMS	en_US
dc.type	Article	en_US
dc.identifier.doi	10.1049/el:19950688	en_US
dc.identifier.journal	ELECTRONICS LETTERS	en_US
dc.citation.volume	31	en_US
dc.citation.issue	12	en_US
dc.citation.spage	942	en_US
dc.citation.epage	943	en_US
dc.contributor.department	交大名義發表	zh_TW
dc.contributor.department	電信工程研究所	zh_TW
dc.contributor.department	National Chiao Tung University	en_US
dc.contributor.department	Institute of Communications Engineering	en_US
dc.identifier.wosnumber	WOS:A1995RE97100008	-
dc.citation.woscount	2	-
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