Improving the initial convergence of adaptive filters: variable-length LMS algorithms
暂无分享,去创建一个
[1] Ali H. Sayed,et al. LMS is H/sup /spl infin// optimal , 1993, Proceedings of 32nd IEEE Conference on Decision and Control.
[2] Eweda Eweda,et al. Comparison of RLS, LMS, and sign algorithms for tracking randomly time-varying channels , 1994, IEEE Trans. Signal Process..
[3] Paulo S. R. Diniz,et al. Adaptive Filtering: Algorithms and Practical Implementation , 1997 .
[4] Ali H. Sayed,et al. LMS is H∞ Optimal , 1995 .
[5] Vitor H. Nascimento,et al. THE NORMALIZED LMS ALGORITHM WITH DEPENDENT NOISE , 2000 .
[6] Ali H. Sayed,et al. On the learning mechanism of adaptive filters , 2000, IEEE Trans. Signal Process..
[7] Dirk T. M. Slock,et al. On the convergence behavior of the LMS and the normalized LMS algorithms , 1993, IEEE Trans. Signal Process..
[8] Neil J. Bershad,et al. Analysis of the normalized LMS algorithm with Gaussian inputs , 1986, IEEE Trans. Acoust. Speech Signal Process..
[9] H. J. Butterweck,et al. A wave theory of long adaptive filters , 2001 .