ON THE ″DESIRED BEHAVIOR ″OF ADAPTIVE SIGNAL PROCESSING ALGORITHMS.

David C. Farden, Justin C. Goding, Khalid Sayood

Research output: Contribution to conferencePaper

13 Scopus citations

Abstract

Sufficient conditions are presented for establishing ″desirable″ convergence properties of commonly used adaptive signal processing algorithms which use correlated training data. The family of algorithms considered includes the Widrow LMS algorithm. Desirable properties include, e. g. , an asymptotic bound on the mean-square error between the parameter vector trained by the adaptive algorithm and the optimal solution. This asymptotic bound should decrease with decreasing step size. The results contained in this paper illustrate the trade-offs involved in choosing the step size to achieve an acceptable convergence rate as well as an acceptable steady state error. The sufficient conditions include bounded data and easily verified covariance decay rate conditions.

Original languageEnglish (US)
Pages941-944
Number of pages4
StatePublished - 1979
EventRec IEEE Int Conf Acoust Speech Signal Process 4th (ICASSP '79) - Washington, DC, USA
Duration: Apr 2 1979Apr 4 1979

Other

OtherRec IEEE Int Conf Acoust Speech Signal Process 4th (ICASSP '79)
CityWashington, DC, USA
Period4/2/794/4/79

ASJC Scopus subject areas

  • Engineering(all)

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    Farden, D. C., Goding, J. C., & Sayood, K. (1979). ON THE ″DESIRED BEHAVIOR ″OF ADAPTIVE SIGNAL PROCESSING ALGORITHMS.. 941-944. Paper presented at Rec IEEE Int Conf Acoust Speech Signal Process 4th (ICASSP '79), Washington, DC, USA, .