The comparison of the constrained and unconstrained frequency-domain block-lms adaptive algorithms

Xiaohui Li; W. Kenneth Jenkins

doi:10.1109/78.510628

The comparison of the constrained and unconstrained frequency-domain block-lms adaptive algorithms

Xiaohui Li, W. Kenneth Jenkins

Research output: Contribution to journal › Article › peer-review

14 Scopus citations

Abstract

Convergence properties of the constrained and the unconstrained frequency-domain block LMS algorithms are analyzed. Comparisons based on both a theoretical analysis and computer simulation are given. It is shown that the unconstrained algorithm has a slower convergence rate and smaller stable range of step size than that of the constrained algorithm.

Original language	English (US)
Pages (from-to)	1813-1816
Number of pages	4
Journal	IEEE Transactions on Signal Processing
Volume	44
Issue number	7
DOIs	https://doi.org/10.1109/78.510628
State	Published - 1996

All Science Journal Classification (ASJC) codes

Signal Processing
Electrical and Electronic Engineering

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10.1109/78.510628

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title = "The comparison of the constrained and unconstrained frequency-domain block-lms adaptive algorithms",

abstract = "Convergence properties of the constrained and the unconstrained frequency-domain block LMS algorithms are analyzed. Comparisons based on both a theoretical analysis and computer simulation are given. It is shown that the unconstrained algorithm has a slower convergence rate and smaller stable range of step size than that of the constrained algorithm.",

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AU - Kenneth Jenkins, W.

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AB - Convergence properties of the constrained and the unconstrained frequency-domain block LMS algorithms are analyzed. Comparisons based on both a theoretical analysis and computer simulation are given. It is shown that the unconstrained algorithm has a slower convergence rate and smaller stable range of step size than that of the constrained algorithm.

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The comparison of the constrained and unconstrained frequency-domain block-lms adaptive algorithms

Abstract

All Science Journal Classification (ASJC) codes

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