Architectures and algorithms for nonlinear adaptive filters

V. Hegde; C. Radhakrishnan; D. J. Krusienski; W. K. Jenkins

doi:10.1109/ACSSC.2002.1196937

Architectures and algorithms for nonlinear adaptive filters

V. Hegde, C. Radhakrishnan, D. J. Krusienski, W. K. Jenkins

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4 Scopus citations

Abstract

This paper considers series-cascade nonlinear adaptive filter architectures consisting of a linear input filter, a memoryless polynomial nonlinearity, and a linear output filter (LNL). The learning characteristics of the LNL structure are studied in terms of performance and complexity. Replacing the linear input stage and the memoryless nonlinear stage of the LNL model with a Volterra module is then considered. Adaptive algorithms are summarized for these structures and experimental examples are used to illustrate performance for the identification of an acoustic echo channel.

Original language	English (US)
Pages (from-to)	1015-1016
Number of pages	2
Journal	Conference Record of the Asilomar Conference on Signals, Systems and Computers
Volume	2
DOIs	https://doi.org/10.1109/ACSSC.2002.1196937
State	Published - 2002

All Science Journal Classification (ASJC) codes

Signal Processing
Computer Networks and Communications

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10.1109/ACSSC.2002.1196937

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AU - Jenkins, W. K.

PY - 2002

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AB - This paper considers series-cascade nonlinear adaptive filter architectures consisting of a linear input filter, a memoryless polynomial nonlinearity, and a linear output filter (LNL). The learning characteristics of the LNL structure are studied in terms of performance and complexity. Replacing the linear input stage and the memoryless nonlinear stage of the LNL model with a Volterra module is then considered. Adaptive algorithms are summarized for these structures and experimental examples are used to illustrate performance for the identification of an acoustic echo channel.

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JF - Conference Record of the Asilomar Conference on Signals, Systems and Computers

ER -

Architectures and algorithms for nonlinear adaptive filters

Abstract

All Science Journal Classification (ASJC) codes

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