Abstract
In this paper, we propose a new mixed norm LMS-LMF adaptive algorithm. The algorithm minimizes an objective function defined as a weighted sum of the least mean fourth (LMF) and least mean square (LMS) cost functions. The weighting factor is time varying and adapts itself so as to emphasize one cost function over the other based on proximity to the optimum. Improved convergence is illustrated by examples. Bounds on the step size to ensure mean convergence are also derived.
Original language | English |
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Title of host publication | Conference Record of the 33rd Asilomar Conference on Signals, Systems, and Computers |
Editors | Michael B. Matthews |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 791-794 |
Number of pages | 4 |
ISBN (Electronic) | 0780357000, 9780780357006 |
DOIs | |
State | Published - 1999 |
Publication series
Name | Conference Record of the 33rd Asilomar Conference on Signals, Systems, and Computers |
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Volume | 1 |
Bibliographical note
Publisher Copyright:© 1999 IEEE.
ASJC Scopus subject areas
- Signal Processing
- Computer Networks and Communications