Transient Analysis of Signed LMS Algorithms With Cyclostationary Colored Gaussian Inputs

It is of significant importance to investigate the transient behaviors of signed LMS algorithms under the cyclostationary colored Gaussian inputs for the design of corresponding filters in practical applications. In this brief, we derive the analytical models of a family of signed LMS algorithms wit...

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Bibliographic Details
Published in:IEEE transactions on circuits and systems. II, Express briefs Vol. 67; no. 12; pp. 3562 - 3566
Main Authors: Gao, Wei, Chen, Jie
Format: Journal Article
Language:English
Published: New York IEEE 01.12.2020
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Adaptive filtering
Algorithms
Analytical models
Circuits and systems
cyclostationary colored Gaussian input
Estimation error
Perturbation methods
Prediction algorithms
Signal processing algorithms
signed LMS algorithms
System identification
Transient analysis
ISSN:1549-7747, 1558-3791
Online Access:Get full text
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Summary:It is of significant importance to investigate the transient behaviors of signed LMS algorithms under the cyclostationary colored Gaussian inputs for the design of corresponding filters in practical applications. In this brief, we derive the analytical models of a family of signed LMS algorithms with the cyclostationary colored Gaussian inputs in the mean and mean-square sense for the nonstationary system identification. Simulation results illustrate the excellent consistency between the simulated results and the theoretical findings.
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ISSN:1549-7747
1558-3791
DOI:10.1109/TCSII.2020.2997698