THE FLS-QR ALGORITHM FOR ADAPTIVE FILTERING - THE CASE OF MULTICHANNEL SIGNALS

被引：6

作者：

BELLANGER, MG

REGALIA, PA

机构：

[1] TRT-Philips, 92350 Le Plessis Robinson

[2] INT, 91011 Evry

来源：

SIGNAL PROCESSING | 1991年 / 22卷 / 02期

关键词：

ADAPTIVE FILTERING; FAST LEAST SQUARES ALGORITHM; QR DECOMPOSITION; MULTIDIMENSIONAL SIGNALS;

D O I：

10.1016/0165-1684(91)90044-J

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The Fast Least Squares (FLS) algorithms based on the QR triangular decomposition of the input signal matrix and developed for the case of one-dimensional (1-D) signals can be extended to handle the case of multi-dimensional (MD) or multichannel signals. A particularly simple, flexible and robust approach for K-dimensional signals consists of running the 1-D algorithm K times.

引用

页码：115 / 126

页数：12

共 8 条

[1]

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[2]

Bellanger, The FLS-QR algorithm for adaptive filtering, Signal Processing, 17, 4, pp. 291-304, (1989)

[3]

Cioffi, A fast QR-frequency domain RLS adaptive filter, Proc. Internat. Conf. Acoust. Speech Signal Process, pp. 407-410, (1987)

[4]

Ling, Givens rotation based least squares lattice and related algorithms, IEEE Trans. Acoust. Speech Signal Process, (1989)

[5]

Ling, Manolakis, Proakis, A recursive modified Gram-Schmidt algorithm for least squares estimation, IEEE Trans., 34 ASS, pp. 829-836, (1986)

[6]

Proudler, McWhirter, Shepherd, Fast QRD-based algorithms for least squares linear prediction, IMA Conf. Mathematics in Signal Processing, (1988)

[7]

Regalia, Bellanger, On the duality between fast QR methods and lattice methods in least squares adaptive filtering, IEEE Trans. Acoust. Speech Signal Process., 39 ASSP, (1991)

[8]

Slock, Chisci, Lev-Ari, Kailath, Modular and numerically stable multichannel FTF algorithms, Proc. Internat. Conf. Acoust. Speech Signal Process., pp. 1039-1042, (1989)

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