Title :
Covariance-updated QRD-RLS algorithm using a novel cost function
Author :
He, Zhongqiu ; Li, Daoben
Author_Institution :
Beijing Univ. of Posts & Telecommun., China
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;
Conference_Titel :
Communication Technology Proceedings, 2003. ICCT 2003. International Conference on
Print_ISBN :
7-5635-0686-1
DOI :
10.1109/ICCT.2003.1209808
