Full metadata record
DC FieldValueLanguage
dc.contributor.authorChang, DCen_US
dc.contributor.authorWu, WRen_US
dc.date.accessioned2014-12-08T15:48:57Z-
dc.date.available2014-12-08T15:48:57Z-
dc.date.issued1998-06-11en_US
dc.identifier.issn0013-5194en_US
dc.identifier.urihttp://hdl.handle.net/11536/32561-
dc.description.abstractThe 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.language.isoen_USen_US
dc.titleAdaptive filter bank reconstruction using fast multichannel RLS algorithmsen_US
dc.typeArticleen_US
dc.identifier.journalELECTRONICS LETTERSen_US
dc.citation.volume34en_US
dc.citation.issue12en_US
dc.citation.spage1213en_US
dc.citation.epage1214en_US
dc.contributor.department電信工程研究所zh_TW
dc.contributor.departmentInstitute of Communications Engineeringen_US
dc.identifier.wosnumberWOS:000074639100038-
dc.citation.woscount1-
Appears in Collections:Articles


Files in This Item:

  1. 000074639100038.pdf

If it is a zip file, please download the file and unzip it, then open index.html in a browser to view the full text content.