Sciweavers

Share
TSP
2010

Multichannel fast QR-decomposition algorithms: weight extraction method and its applications

11 years 6 months ago
Multichannel fast QR-decomposition algorithms: weight extraction method and its applications
Abstract--Multichannel fast QR decomposition RLS (MCFQRD-RLS) algorithms are well known for their good numerical properties and low computational complexity. The main limitation is that they lack an explicit weight vector term, limiting themselves to problems seeking an estimate of the output error signal. This paper presents techniques which allow us to use MC-FQRD-RLS algorithms with applications that previously have required explicit knowledge of the adaptive filter weights. We first consider a multichannel system identification setup and present how to obtain, at any time, the filter weights associated with the MC-FQRD-RLS algorithm. Thereafter, we turn to problems where the filter weights are periodically updated using training data, and then used for fixed filtering of a useful data sequence, e.g., burst-trained equalizers. Finally, we consider a particular control structure, indirect learning, where a copy of the coefficient vector is filtering a different input sequence than th...
Mobien Shoaib, Stefan Werner, José Antonio
Added 22 May 2011
Updated 22 May 2011
Type Journal
Year 2010
Where TSP
Authors Mobien Shoaib, Stefan Werner, José Antonio Apolinário
Comments (0)
books