Referenced Items are not available for this document.
We introduce a new transform domain (least mean square) LMS algorithm with variable step. The existing approaches use different time-variable step-sizes for each filter tap. The step-sizes are time-variable due to the power estimates of each transform coefficient. In our new approach, for each step-size we define a local component that is given by the power normalization, and a global component that is the same for each filter coefficient. We show that if the global component is also made time-variable, depending on the output error, the speed of convergence can be significantly improved.
Published in:
Signal Processing Letters, IEEE
(Volume:9
,
Issue:
2
)
Date of Publication: Feb. 2002
- Page(s):
- 51 - 53
- ISSN :
- 1070-9908
- INSPEC Accession Number:
- 7221183
- Digital Object Identifier :
- 10.1109/97.991136
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 07 August 2002
- Issue Date :
- Feb. 2002
- Sponsored by :
- IEEE Signal Processing Society
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