Zerguine, A. (2000) Convergence Behavior of the Normalized Least Mean Fourth Algorithm. In: 34th Annual, Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, California.
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The normalized least mean fourth (NLMF) algorithm is presented in this work and shown to have potentially faster convergence. Unlike the LMF algorithm, the convergence behavior of the NLMF algorithm is independent of the input data correlation statistics. Sufficient conditions for the NLMF algorithm convergence in the mean are obtained and the analysis of the steady-state performance is carried out using the feedback approach. Simulation results confirm the performance of the NLMF algorithm.
|Item Type:||Conference or Workshop Item (Paper)|
|Divisions:||College Of Engineering Sciences > Electrical Engineering Dept|
|Deposited By:||Mr. Md. Ahsanul Alam|
|Deposited On:||21 Apr 2008 10:53|
|Last Modified:||12 Apr 2011 13:08|
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