Adaptive filter bank reconstruction using fast multichannel RLS algorithms
| dc.citation.epage | 1214 | en_US |
| dc.citation.issue | 12 | en_US |
| dc.citation.spage | 1213 | en_US |
| dc.citation.volume | 34 | en_US |
| dc.citation.woscount | 1 | |
| dc.contributor.author | Chang, DC | en_US |
| dc.contributor.author | Wu, WR | en_US |
| dc.contributor.department | 電信工程研究所 | zh_TW |
| dc.contributor.department | Institute of Communications Engineering | en_US |
| dc.date.accessioned | 2014-12-08T15:48:57Z | |
| dc.date.available | 2014-12-08T15:48:57Z | |
| dc.date.issued | 1998-06-11 | en_US |
| dc.description.abstract | The recursive least-squares (RLS) algorithm has been used in the adaptive synthesis filter bank for fast convergence. However, because of interpolation operations involved in the synthesis process, fast RLS algorithms cannot be applied. In this Letter, an approach is proposed that can formulate subband reconstruction as a multichannel filtering problem. This formulation allows the application of fast multichannel RLS algorithms and substantial reduction in computational complexity. | en_US |
| dc.identifier.issn | 0013-5194 | en_US |
| dc.identifier.journal | ELECTRONICS LETTERS | en_US |
| dc.identifier.uri | https://ir.lib.nycu.edu.tw/handle/11536/32561 | |
| dc.identifier.wosnumber | WOS:000074639100038 | |
| dc.language.iso | en_US | en_US |
| dc.title | Adaptive filter bank reconstruction using fast multichannel RLS algorithms | en_US |
| dc.type | Article | en_US |