The square-root Schur RLS adaptive filter

A square-root normalized Schur (1917,1986) RLS (recursive least squares) adaptive filter is presented which belongs to the newly developed class of Schur-type algorithms for adaptive filtering and parameter estimation in the serialized data case of RLS processing. Schur-type algorithms can outperfor...

Full description

Saved in:
Bibliographic Details
Published in:[Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing pp. 1845 - 1848 vol.3
Main Author: Strobach, P.
Format: Conference Proceeding
Language:English
Published: IEEE 1991
Subjects:
Adaptive arrays
Adaptive filters
Clocks
Filtering algorithms
Lattices
Least squares approximation
Parameter estimation
Reflection
Resonance light scattering
Systolic arrays
ISBN:9780780300033, 0780300033
ISSN:1520-6149
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:A square-root normalized Schur (1917,1986) RLS (recursive least squares) adaptive filter is presented which belongs to the newly developed class of Schur-type algorithms for adaptive filtering and parameter estimation in the serialized data case of RLS processing. Schur-type algorithms can outperform many of the well-known fast adaptive filtering algorithms due to their inherent ability to work with arbitrary recursive windowing of the data. Key features of the square-root Schur RLS adaptive filter are a fully pipelineable structure and excellent numerical properties. A systolic array of CORDIC processors for implementation of the square-root Schur RLS adaptive filter is presented, and its performance is illustrated with a typical example.< >
ISBN:9780780300033
0780300033
ISSN:1520-6149
DOI:10.1109/ICASSP.1991.150713