Adaptive lattice filters for block RLS based on QR decomposition

Hideaki Sakai; Tomoshi Imura

doi:10.1117/12.160449

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.

Citation Download Citation

Hideaki Sakai and Tomoshi Imura "Adaptive lattice filters for block RLS based on QR decomposition", Proc. SPIE 2027, Advanced Signal Processing Algorithms, Architectures, and Implementations IV, (1 November 1993); doi: 10.1117/12.160449; https://doi.org/10.1117/12.160449

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