A robust mixed-norm adaptive filter algorithm

We propose a new member of the family of mixed-norm stochastic gradient adaptive filter algorithms for system identification applications based upon a convex function of the error norms that underlie the least mean square (LMS) and least absolute difference (LAD) algorithms. A scalar parameter contr...

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Bibliographic Details
Main Authors: Jonathon Chambers, Apostolos Avlonitis
Format: Default Article
Published: 1997
Online Access:https://hdl.handle.net/2134/5849
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