A generalized multichannel least squares lattice algorithm based on sequential processing stages

A generalized multichannel least squares (LS) lattice algorithm which is appropriate for multichannel adaptive filtering and estimation is presented in this paper. It is shown that a muitichannel LS estimation algorithm with a different number of parameters to be estimated in each channel can be imp...

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Vydáno v:	IEEE transactions on acoustics, speech, and signal processing Ročník 32; číslo 2; s. 381 - 389
Hlavní autoři:	Fuyun Ling, Proakis, J.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York, NY IEEE 01.04.1984 Institute of electrical and electronics engineers
Témata:	Adaptive filters Applied sciences Computational complexity Control systems Covariance matrix Delay estimation Exact sciences and technology Filtering algorithms Information, signal and communications theory Lattices Least squares methods Parameter estimation System identification Telecommunications and information theory Digital filter Least squares method Information processing Transverse filter Adaptive filter Recursive filter Algorithm
ISSN:	0096-3518
On-line přístup:	Získat plný text
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