NDLI: Delta Levinson and Schur-type RLS algorithms for adaptive signal processing

Content Provider	IEEE Xplore Digital Library
Author	Fan, H. Xiaqi Liu
Copyright Year	1991
Abstract	In this paper, we develop delta operator based Levinson and Schur type on-line RLS algorithms. Such algorithms have the potential of improved numerical behavior for ill-conditioned input data. These new algorithms are obtained by a unified transformation on the existing q operator based ones. We first show that the conventional lattice structure can be naturally derived when the backward delta operator is used. With this operator, Levinson and Schur algorithms for the stationary stochastic model in q-domain can easily be transformed into the delta domain. Then, same transformation, will be applied to the q-domain on-line Levinson and Schur type RLS algorithms to obtain the delta-domain counterparts. Their normalized versions as well as a systolic array architecture implementing the new delta Schur RLS algorithm are proposed. Extension to the equal length multichannel case is also given. Computer simulations show the expected numerical advantages of the delta-based algorithms for fast-sampled data in real time, over the q-domain ones under finite precision implementation.<>
Sponsorship	IEEE Signal Processing Society
Starting Page	1629
Ending Page	1639
Page Count	11
File Size	1013208
File Format	PDF
ISSN	1053587X
Volume Number	42
Issue Number	7
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1994-07-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Resonance light scattering Signal processing algorithms Adaptive signal processing Least squares methods Lattices Stochastic processes Systolic arrays Senior members Student members Computer architecture
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

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