A Frequency Domain Step-Size Control Method for LMS Algorithms

Frequency-domain (FD) adaptive filters are able to reduce the numerical complexity by using the overlap-and-save implementation method compared to time-domain (TD) ones. Similar to the TD algorithms, the selection of step size trades off between the convergence rate and steady state performance. In...

Full description

Saved in:
Bibliographic Details
Published inIEEE signal processing letters Vol. 17; no. 2; pp. 125 - 128
Main Authors Kun Shi, Xiaoli Ma
Format Journal Article
LanguageEnglish
Published IEEE 01.02.2010
Subjects
Adaptive filters
Communication system control
Control systems
Convergence
Frequency domain analysis
Least squares approximation
least-mean-square (LMS) algorithm
Signal processing algorithms
Size control
Steady-state
Time domain analysis
variable step size
Online AccessGet full text
ISSN1070-9908
1558-2361
DOI10.1109/LSP.2009.2032996

Cover

More Information
Summary:Frequency-domain (FD) adaptive filters are able to reduce the numerical complexity by using the overlap-and-save implementation method compared to time-domain (TD) ones. Similar to the TD algorithms, the selection of step size trades off between the convergence rate and steady state performance. In this letter, we propose a bin-wise block-varying step-size control method for the FD least-mean-square (LMS) algorithm. It achieves both fast convergence rate and low steady state error. In addition, compared to the TD step-size control method, the proposed method performs better when the filter input is a non-white process. Effectiveness of the proposed algorithm is demonstrated through computer simulations.
ISSN:1070-9908
1558-2361
DOI:10.1109/LSP.2009.2032996