Blind Multiuser Detection in Multirate CDMA Based on Cyclic LMS Adaptation
Wireless Personal Communications: An International Journal
Improved data-selective LMS-Newton adaptation algorithms
DSP'09 Proceedings of the 16th international conference on Digital Signal Processing
A unified view of adaptive variable-metric projection algorithms
EURASIP Journal on Advances in Signal Processing
Improved Quasi-Newton adaptive-filtering algorithm
IEEE Transactions on Circuits and Systems Part I: Regular Papers
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An analysis of two LMS-Newton adaptive filtering algorithms with variable convergence factor is presented. The relations of these algorithms with the conventional recursive least-squares algorithm are first addressed. Their performance in stationary and nonstationary environments is then studied and closed-form formulas for the excess mean-square error (MSE) are derived. The paper deals, in addition, with the effects of roundoff errors for the case of fixed-point arithmetic. Specifically, closed-form formulas for the excess MSE caused by quantization are obtained. The paper concludes with experimental results that demonstrate the validity of the analysis presented