完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
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 | - |
顯示於類別: | 期刊論文 |