Applications of a variable step size algorithm to QCEE adaptive IIR filters
| dc.citation.epage | 254 | en_US |
| dc.citation.issue | 1 | en_US |
| dc.citation.spage | 250 | en_US |
| dc.citation.volume | 48 | en_US |
| dc.citation.woscount | 1 | |
| dc.contributor.author | Hsu, PL | en_US |
| dc.contributor.author | Tsai, TY | en_US |
| dc.contributor.author | Lee, FC | en_US |
| dc.contributor.department | 電控工程研究所 | zh_TW |
| dc.contributor.department | Institute of Electrical and Control Engineering | en_US |
| dc.date.accessioned | 2014-12-08T15:45:54Z | |
| dc.date.available | 2014-12-08T15:45:54Z | |
| dc.date.issued | 2000-01-01 | en_US |
| dc.description.abstract | The quadratic constraint equation error (QCEE) method was proposed by Ho and Chan to achieve bias removal for the equation error adaptive IIR filters. However, this approach is limited to slow convergence in estimation when a small step size is used; large step sizes Lead to significant misadjustment. This correspondence presents a variable step size (VSS) technique to greatly improve the QCEE under its quadratic constraint to achieve both fast convergence and reduced misadjustment for adaptive IIR filters. | en_US |
| dc.identifier.doi | 10.1109/78.815496 | en_US |
| dc.identifier.issn | 1053-587X | en_US |
| dc.identifier.journal | IEEE TRANSACTIONS ON SIGNAL PROCESSING | en_US |
| dc.identifier.uri | http://dx.doi.org/10.1109/78.815496 | en_US |
| dc.identifier.uri | https://ir.lib.nycu.edu.tw/handle/11536/30869 | |
| dc.identifier.wosnumber | WOS:000084697300023 | |
| dc.language.iso | en_US | en_US |
| dc.subject | adaptive IIR filter | en_US |
| dc.subject | estimation | en_US |
| dc.subject | quadratic constraint | en_US |
| dc.subject | step size | en_US |
| dc.title | Applications of a variable step size algorithm to QCEE adaptive IIR filters | en_US |
| dc.type | Letter | en_US |