QR-BASED ALGORITHMS FOR MULTICHANNEL ADAPTIVE LEAST-SQUARES LATTICE FILTERS

被引：24

作者：

LEWIS, PS

机构：

[1] Los Alamos National Laboratory, Mechanical and Electronic Engineering, Instrumentation Group MEE-3, MS J580, Los Alamos

来源：

IEEE TRANSACTIONS ON ACOUSTICS SPEECH AND SIGNAL PROCESSING | 1990年 / 38卷 / 03期

基金：

美国能源部;

关键词：

D O I：

10.1109/29.106861

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

A pair of multichannel least squares lattice filter algorithms is presented. Each m-channel filter stage is numerically stable and computationally efficient, with a computational complexity of 0 (m2). Both algorithms are based on the recursive QR decomposition of the forward and backward error matrices in each filter stage. The first algorithm uses orthogonal Givens rotations to compute the QR decomposition. The second algorithm uses fast Givens rotations for greater efficiency. Simulation results are presented, as well as an example of the algorithms' application in the enhancement of magne-toencephalographic signals. © 1990 IEEE

引用

页码：421 / 432

页数：12

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