FFT-based fault tolerant FIR adaptive filter

Bernard A. Schnaufer; William Kenneth Jenkins

FFT-based fault tolerant FIR adaptive filter

Bernard A. Schnaufer, William Kenneth Jenkins

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

Abstract

The FFT-based TDFTAF has been shown to have desirable structural and convergence properties when being trained with a white noise input signal. However, for colored noise training signals, which frequency arise in adaptive filtering scenarios, some of the good convergence properties do not hold. In this paper we demonstrate the convergence behavior of the FFT-based TDFTAF with colored noise input signals and provide a computationally efficient method to address the poor convergence rate problem.

Original language	English (US)
Pages (from-to)	261-264
Number of pages	4
Journal	Proceedings - IEEE International Symposium on Circuits and Systems
Volume	2
State	Published - Dec 1 1994
Event	Proceedings of the 1994 IEEE International Symposium on Circuits and Systems. Part 3 (of 6) - London, England Duration: May 30 1994 → Jun 2 1994

All Science Journal Classification (ASJC) codes

Electrical and Electronic Engineering

Cite this

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title = "FFT-based fault tolerant FIR adaptive filter",

abstract = "The FFT-based TDFTAF has been shown to have desirable structural and convergence properties when being trained with a white noise input signal. However, for colored noise training signals, which frequency arise in adaptive filtering scenarios, some of the good convergence properties do not hold. In this paper we demonstrate the convergence behavior of the FFT-based TDFTAF with colored noise input signals and provide a computationally efficient method to address the poor convergence rate problem.",

author = "Schnaufer, {Bernard A.} and Jenkins, {William Kenneth}",

year = "1994",

month = dec,

day = "1",

language = "English (US)",

volume = "2",

pages = "261--264",

journal = "Proceedings - IEEE International Symposium on Circuits and Systems",

issn = "0271-4310",

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

note = "Proceedings of the 1994 IEEE International Symposium on Circuits and Systems. Part 3 (of 6) ; Conference date: 30-05-1994 Through 02-06-1994",

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TY - JOUR

T1 - FFT-based fault tolerant FIR adaptive filter

AU - Schnaufer, Bernard A.

AU - Jenkins, William Kenneth

PY - 1994/12/1

Y1 - 1994/12/1

N2 - The FFT-based TDFTAF has been shown to have desirable structural and convergence properties when being trained with a white noise input signal. However, for colored noise training signals, which frequency arise in adaptive filtering scenarios, some of the good convergence properties do not hold. In this paper we demonstrate the convergence behavior of the FFT-based TDFTAF with colored noise input signals and provide a computationally efficient method to address the poor convergence rate problem.

AB - The FFT-based TDFTAF has been shown to have desirable structural and convergence properties when being trained with a white noise input signal. However, for colored noise training signals, which frequency arise in adaptive filtering scenarios, some of the good convergence properties do not hold. In this paper we demonstrate the convergence behavior of the FFT-based TDFTAF with colored noise input signals and provide a computationally efficient method to address the poor convergence rate problem.

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M3 - Conference article

AN - SCOPUS:0028552695

SN - 0271-4310

VL - 2

SP - 261

EP - 264

JO - Proceedings - IEEE International Symposium on Circuits and Systems

JF - Proceedings - IEEE International Symposium on Circuits and Systems

T2 - Proceedings of the 1994 IEEE International Symposium on Circuits and Systems. Part 3 (of 6)

Y2 - 30 May 1994 through 2 June 1994

ER -

FFT-based fault tolerant FIR adaptive filter

Abstract

All Science Journal Classification (ASJC) codes

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