Adaptive bilinear filtering

Tamal Bose, Mei Qin Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The application of the Conjugate Gradient (CG) method for the identification of bilinear systems is investigated. An algorithm based on the CG method is developed for adaptive bilinear digital filtering. This algorithm outperforms the LMS and RLS methods in terms of speed of convergence. In this algorithm, the optimization is done over blocks of input and output data rather than a single pair of data. However, only one iteration and coefficient update is done for every sample of data. This, coupled with the fact that the CG method used here does not require a line search makes it very efficient in computation. A preconditioning technique is also studied to accelerate the convergence. Some examples are given to illustrate the efficiency of the method.

Original languageEnglish (US)
Title of host publicationProceedings - IEEE International Symposium on Circuits and Systems
PublisherPubl by IEEE
Pages48-51
Number of pages4
ISBN (Print)0780312813
StatePublished - Jan 1 1993
Externally publishedYes
Event1993 IEEE International Symposium on Circuits and Systems - Chicago, IL, USA
Duration: May 3 1993May 6 1993

Publication series

NameProceedings - IEEE International Symposium on Circuits and Systems
Volume1
ISSN (Print)0271-4310

Other

Other1993 IEEE International Symposium on Circuits and Systems
CityChicago, IL, USA
Period5/3/935/6/93

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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