Referenced Items are not available for this document.
The optimum nonlinearly modified least-mean-square (ONM-LMS) algorithm has been shown to perform better than both the LMS and the normalized LMS algorithms. This paper proposes a QR-LMS adaptive parameter estimation algorithm that can perform significantly better than ONM-LMS. The performances of QR-LMS, including its numerical stability, error propagation property, and tracking ability, are analyzed. These properties are also verified with numerical examples
Published in:
Circuits and Systems II: Analog and Digital Signal Processing, IEEE Transactions on
(Volume:45
,
Issue:
3
)
Date of Publication: Mar 1998
- Page(s):
- 321 - 329
- ISSN :
- 1057-7130
- INSPEC Accession Number:
- 5898625
- Digital Object Identifier :
- 10.1109/82.664238
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 06 August 2002
- Issue Date :
- Mar 1998
- Sponsored by :
- IEEE Circuits and Systems Society
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