A FAMILY OF NORMALIZED LEAST MEAN FOURTH ALGORITHMS
In this work, a family of normalized least mean fourth algorithms is presented. Unlike the LMF algorithm, the convergence behavior of these algorithms is independent of the input data correlation statistics. The first proposed algorithm uses a simple normalization of the regressor and is called simp...
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| Main Author: | Zerguine, Azzedine (author) |
|---|---|
| Other Authors: | unknown (author) |
| Format: | article |
| Published: |
2020
|
| Online Access: | https://eprints.kfupm.edu.sa/id/eprint/1466/1/poster_9_1569048847.pdf |
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