Degeneracy in non-linear predictors

B. Mulgrew, K. Nisbet, S. McLaughlin

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

Abstract

This paper describes an initial attempt to reduce the complexity of Volterra series and radial basis function nonlinear predictors. The algorithm used exploits signal subspace concepts to reduce the number of nonlinear terms while attempting to maintain the same MSE performance.
Original languageEnglish
Title of host publicationSignal Processing VI Theories and Applications
Subtitle of host publicationProceedings of EUSIPCO-92, Sixth European Signal Processing Conference, Brussels, Belgium, August 24-27, 1992
EditorsJ. Vandewalle, R. Boite, M. Moonen, A. Oosterlinck
Place of PublicationAmsterdam
PublisherElsevier Science Publishers B.V.
Pages791-794
Number of pages4
VolumeII
ISBN (Print)0444895876
Publication statusPublished - 1992
Externally publishedYes
Event6th European Signal Processing Conference - Brussels, Belgium
Duration: 24 Aug 199227 Aug 1992

Conference

Conference6th European Signal Processing Conference
Abbreviated titleEUSIPCO 92
Country/TerritoryBelgium
CityBrussels
Period24/08/9227/08/92

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