A model-based approach for the development of lms algorithms
Refereed conference paper presented and published in conference proceedings


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AbstractThe LMS algorithm is one of the most popular adaptive filter algorithms. Many variants of the algorithm have been developed for different applications. In this paper, we propose a unified modelbased approach for developing LMS algorithms. We use a number of probability density functions to model the filtering error and the filter coefficients. The filter coefficients are determined by maximizingthe posterior distribution function. We demonstrate that using this approach, we can not only develop existing LMS algorithms with further insights, we can also explore a number of new algorithms with certain desired properties such as robustness and sparseness. © 2009 IEEE.
All Author(s) ListDeng G., Ng W.-Y.
Name of ConferenceIEEE International Symposium on Circuits and Systems 2005, ISCAS 2005
Start Date of Conference23/05/2005
End Date of Conference26/05/2005
Place of ConferenceKobe
Country/Region of ConferenceJapan
Detailed descriptionorganized by IEEE,
Year2005
Month12
Day1
Pages2267 - 2270
ISSN0271-4310
LanguagesEnglish-United Kingdom

Last updated on 2020-24-05 at 23:32