The gamma filter : a new class of adaptive IIR filters with restricted feedback

J.C. Principe, B. Vries, de, P.G. Oliveira, de

Research output: Contribution to journalArticleAcademicpeer-review

86 Citations (Scopus)
3 Downloads (Pure)

Abstract

Generalized feedforward filters, a class of adaptive filters that combines attractive properties of finite impulse response (FIR) filters with some of the power of infinite impulse response (IIR) filters, are described. A particular case, the gamma filter, generalizes Widrow's adaptive transversal filter (adaline) to an infinite impulse response filter. Yet, the stability condition for the gamma filter is trivial, and LMS adaptation is of the same computational complexity as the conventional transversal filter structure. Preliminary results indicate that the gamma filter is more efficient than the adaptive transversal filter. The authors extend the Wiener-Kopf equation to the gamma filter and develop some analysis tools
Original languageEnglish
Pages (from-to)649-656
JournalIEEE Transactions on Signal Processing
Volume41
Issue number2
DOIs
Publication statusPublished - 1992

Fingerprint Dive into the research topics of 'The gamma filter : a new class of adaptive IIR filters with restricted feedback'. Together they form a unique fingerprint.

Cite this