Filter arrangement implementing a least squares method utilizing

Pulse or digital communications – Receivers – Interference or noise reduction

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375343, 370123, 455213, H04B 110

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active

054955076

ABSTRACT:
A filter for implementing a least squares method receives samples x(n+1) and produces error signals e(n+1) based on reference signals y(n+1). Filtered samples y(n+1) are available at an output 28. The filtered samples are calculated based on: angle functions .theta..sub.i (i=1 to n) that form part of rotation matrices; a gain vector G.sub.N (n+1) that is based on the rotation matrices; and the error signals. Because the filtered samples are available the filter is suitable for use in an equalizer in which the reference signal is formed by from the filtered signals, as well as in other applications such as echo cancelers.

REFERENCES:
patent: 3969674 (1976-07-01), Tracey
patent: 4137532 (1979-01-01), Taylor, Jr.
Bellanger et al., "The FLS-QR Algorithm for Adaptive Filtering: The Case of Multichannel Signals", Signal Processing, No. 22, 1991, pp. 115-126.
Bellanger, "The FLS-OR Algorithm for Adaptive Filtering", Signal Procesing, Elsevier Science Publishers, B. V., vol. 17, No. 4, Aug. 1989, pp. 291-304.
Bellanger, "Computational Complexity and Accuracy Issues in Fast Least Squares Algorithms for Adaptive Filtering", Proceedings of the 1988 International Symposium on Circuits & Syst., vol. 3, Jun. 7, 1988, pp. 2635-2639.

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