The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
A variable step size LMS algorithm
Abstract
A least-mean-square (LMS) adaptive filter with a variable step size is introduced. The step size increases or decreases as the mean-square error increases or decreases, allowing the adaptive filter to track changes in the system as well as produce a small steady state error. The convergence and steady-state behavior of the algorithm are analyzed. The results reduce to well-known results when specialized to the constant-step-size case. Simulation results are presented to support the analysis and to compare the performance of the algorithm with the usual LMS algorithm and another variable-step-size algorithm. They show that its performance compares favorably with these existing algorithms.>
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Cites
Adaptive noise cancelling: Principles and applications
Widrow, B., Glover, J. R., McCool, J. M., Kaunitz, J., Williams, C. S., Hearn, R. H., Zeidler, J. R., Eugene Dong, Jr., & Goodlin, R. C. (1975) · Proceedings of the IEEE · doi:10.1109/proc.1975.10036 · Cited by 3,939
Cited by
Godara, L. C. (1997) · Proceedings of the IEEE · doi:10.1109/5.622504 · Cited by 2,073
A robust variable step-size LMS-type algorithm: analysis and simulations
Aboulnasr, T., & Mayyas, K. (1997) · IEEE Transactions on Signal Processing · doi:10.1109/78.558478 · Cited by 732
Metadata
- Authors
- Kwong, R. H., & Johnston, E. W.
- Venue
- IEEE Transactions on Signal Processing
- Published
- 1992-07
- Volume
- 40
- Issue
- 7
- Pages
- 1633-1642
- ISSN
- 1053-587X (ISSN-L)
- OpenAlex
- W2160498832
- Cited by
- 1,097
- References
- 1
- FWCI
- 5.48
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: A variable step size LMS algorithm. https://app.cochat.ai/papers/10.1109/78.143435
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- Kwong, R. H., & Johnston, E. W. (1992). A variable step size LMS algorithm. IEEE Transactions on Signal Processing. https://doi.org/10.1109/78.143435
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