(2000) Convergence behavior of the normalized least mean fourth algorithm. Signals, Systems and Computers, 2000. Conference Record of the Thirty-Fourth Asilomar conference, 1.
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Abstract
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: | Article |
|---|---|
| Subjects: | Computer |
| Department: | College of Engineering and Physics > Electrical Engineering |
| Depositing User: | Mr. Admin Admin |
| Date Deposited: | 24 Jun 2008 13:47 |
| Last Modified: | 01 Nov 2019 14:07 |
| URI: | http://eprints.kfupm.edu.sa/id/eprint/14725 |