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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Main Authors: | , |
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Format: | Default Article |
Published: |
1997
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Subjects: | |
Online Access: | https://hdl.handle.net/2134/5849 |
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