Conjugate gradient algorithm for series cascade nonlinear adaptive filters

C. Radhakrishnan; W. K. Jenkins; A. K. Garga

Conjugate gradient algorithm for series cascade nonlinear adaptive filters

C. Radhakrishnan, W. K. Jenkins, A. K. Garga

Research output: Contribution to journal › Conference article › peer-review

Abstract

This paper considers series-cascade nonlinear filter architectures consisting of a linear FIR input filter, a memoryless polynomial nonlinearity, and a linear FIR/IIR output filter (LNL). Earlier publications reported on the development of the LMS and RLS backpropagation algorithms for training this same adaptive filter structure. In this paper the Conjugate Gradient backpropagation algorithm is derived for the joint adaptation of the LNL structure. An echo cancellation example is considered to study the algorithm in terms of its learning characteristics and computational complexity.

Original language	English (US)
Pages (from-to)	II33-II36
Journal	Midwest Symposium on Circuits and Systems
Volume	2
State	Published - Dec 1 2004
Event	The 2004 47th Midwest Symposium on Circuits and Systems - Conference Proceedings - Hiroshima, Japan Duration: Jul 25 2004 → Jul 28 2004

All Science Journal Classification (ASJC) codes

Electronic, Optical and Magnetic Materials
Electrical and Electronic Engineering

Cite this

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title = "Conjugate gradient algorithm for series cascade nonlinear adaptive filters",

abstract = "This paper considers series-cascade nonlinear filter architectures consisting of a linear FIR input filter, a memoryless polynomial nonlinearity, and a linear FIR/IIR output filter (LNL). Earlier publications reported on the development of the LMS and RLS backpropagation algorithms for training this same adaptive filter structure. In this paper the Conjugate Gradient backpropagation algorithm is derived for the joint adaptation of the LNL structure. An echo cancellation example is considered to study the algorithm in terms of its learning characteristics and computational complexity.",

author = "C. Radhakrishnan and Jenkins, {W. K.} and Garga, {A. K.}",

year = "2004",

month = dec,

day = "1",

language = "English (US)",

volume = "2",

pages = "II33--II36",

journal = "Midwest Symposium on Circuits and Systems",

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publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "The 2004 47th Midwest Symposium on Circuits and Systems - Conference Proceedings ; Conference date: 25-07-2004 Through 28-07-2004",

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TY - JOUR

T1 - Conjugate gradient algorithm for series cascade nonlinear adaptive filters

AU - Radhakrishnan, C.

AU - Jenkins, W. K.

AU - Garga, A. K.

PY - 2004/12/1

Y1 - 2004/12/1

N2 - This paper considers series-cascade nonlinear filter architectures consisting of a linear FIR input filter, a memoryless polynomial nonlinearity, and a linear FIR/IIR output filter (LNL). Earlier publications reported on the development of the LMS and RLS backpropagation algorithms for training this same adaptive filter structure. In this paper the Conjugate Gradient backpropagation algorithm is derived for the joint adaptation of the LNL structure. An echo cancellation example is considered to study the algorithm in terms of its learning characteristics and computational complexity.

AB - This paper considers series-cascade nonlinear filter architectures consisting of a linear FIR input filter, a memoryless polynomial nonlinearity, and a linear FIR/IIR output filter (LNL). Earlier publications reported on the development of the LMS and RLS backpropagation algorithms for training this same adaptive filter structure. In this paper the Conjugate Gradient backpropagation algorithm is derived for the joint adaptation of the LNL structure. An echo cancellation example is considered to study the algorithm in terms of its learning characteristics and computational complexity.

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M3 - Conference article

AN - SCOPUS:11144292805

SN - 1548-3746

VL - 2

SP - II33-II36

JO - Midwest Symposium on Circuits and Systems

JF - Midwest Symposium on Circuits and Systems

T2 - The 2004 47th Midwest Symposium on Circuits and Systems - Conference Proceedings

Y2 - 25 July 2004 through 28 July 2004

ER -

Conjugate gradient algorithm for series cascade nonlinear adaptive filters

Abstract

All Science Journal Classification (ASJC) codes

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