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

香港中文大學研究人員
替代計量分析
.

其它資訊
摘要The 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.
著者Deng G., Ng W.-Y.
會議名稱IEEE International Symposium on Circuits and Systems 2005, ISCAS 2005
會議開始日23.05.2005
會議完結日26.05.2005
會議地點Kobe
會議國家/地區日本
詳細描述organized by IEEE,
出版年份2005
月份12
日期1
頁次2267 - 2270
國際標準期刊號0271-4310
語言英式英語

上次更新時間 2021-22-09 於 00:36