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dc.contributor.authorUENG, FBen_US
dc.contributor.authorSU, YTen_US
dc.date.accessioned2014-12-08T15:03:19Z-
dc.date.available2014-12-08T15:03:19Z-
dc.date.issued1995-06-08en_US
dc.identifier.issn0013-5194en_US
dc.identifier.urihttp://dx.doi.org/10.1049/el:19950688en_US
dc.identifier.urihttp://hdl.handle.net/11536/1860-
dc.description.abstractInfinite 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.isoen_USen_US
dc.subjectADAPTIVE EQUALIZERSen_US
dc.subjectADAPTIVE FILTERen_US
dc.subjectEQUALIZERSen_US
dc.titleADAPTIVE IIR BLIND ALGORITHMSen_US
dc.typeArticleen_US
dc.identifier.doi10.1049/el:19950688en_US
dc.identifier.journalELECTRONICS LETTERSen_US
dc.citation.volume31en_US
dc.citation.issue12en_US
dc.citation.spage942en_US
dc.citation.epage943en_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.departmentNational Chiao Tung Universityen_US
dc.contributor.departmentInstitute of Communications Engineeringen_US
dc.identifier.wosnumberWOS:A1995RE97100008-
dc.citation.woscount2-
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