DocumentCode
1609801
Title
Covariance-updated QRD-RLS algorithm using a novel cost function
Author
He, Zhongqiu ; Li, Daoben
Author_Institution
Beijing Univ. of Posts & Telecommun., China
Volume
2
fYear
2003
Firstpage
1480
Abstract
In this paper, a covariance-update QRD-RLS algorithm is proposed to a superexcellent cost function, which is based on Householder transformation. The proposed algorithm employs the Householder processing to obtain the QRD of the covariance-updated matrix, and with this algorithm, the throughput of a weight-update filter can be computed iteratively.
Keywords
adaptive filters; covariance matrices; least squares approximations; recursive estimation; transforms; Householder transformation; adaptive filtering; cost function; covariance-updated QRD-RLS algorithm; covariance-updated matrix; quadratic residue decomposition recursive least squares; weight-update filter; Adaptive equalizers; Adaptive filters; Convergence; Cost function; Filtering algorithms; Iterative algorithms; Least squares methods; Resonance light scattering; Signal processing algorithms; Systolic arrays;
fLanguage
English
Publisher
ieee
Conference_Titel
Communication Technology Proceedings, 2003. ICCT 2003. International Conference on
Print_ISBN
7-5635-0686-1
Type
conf
DOI
10.1109/ICCT.2003.1209808
Filename
1209808
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