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Proceedings Paper

Adaptive lattice filters for block RLS based on QR decomposition
Author(s): Hideaki Sakai; Tomoshi Imura
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Paper Abstract

Recently, the QR decomposition (QRD) method has been extensively used in the recursive least squares (RLS) adaptive filtering problems. And the least squares lattice (LSL) algorithm has been rederived based on the QRD method. On the other hand, in order to increase the throughput in the general RLS, a triangular systolic array for block processing based on the QRD method with Householder transformations has been derived. In this paper, we derive an adaptive FIR lattice filter structure for block processing based on QRD with Householder transformations.

Paper Details

Date Published: 1 November 1993
PDF: 12 pages
Proc. SPIE 2027, Advanced Signal Processing Algorithms, Architectures, and Implementations IV, (1 November 1993); doi: 10.1117/12.160449
Show Author Affiliations
Hideaki Sakai, Kyoto Univ. (Japan)
Tomoshi Imura, Kyoto Univ. (Japan)


Published in SPIE Proceedings Vol. 2027:
Advanced Signal Processing Algorithms, Architectures, and Implementations IV
Franklin T. Luk, Editor(s)

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