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Noise cancelling convergence rates for the LMS algorithm

โœ Scribed by I. Claesson; S. Nordholm; P. Eriksson


Book ID
108016778
Publisher
Elsevier Science
Year
1991
Tongue
English
Weight
622 KB
Volume
5
Category
Article
ISSN
0888-3270

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๐Ÿ“œ SIMILAR VOLUMES


LYAPUNOV TUNING OF THE LEAKY LMS ALGORIT
โœ D.A. CARTES; L.R. RAY; R.D. COLLIER ๐Ÿ“‚ Article ๐Ÿ“… 2003 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 478 KB

Least-mean square (LMS) algorithms, which are commonly used for adaptive feedforward noise cancellation, have performance issues related to insufficient excitation, non-stationary reference inputs, finite-precision arithmetic, quantisation noise and measurement noise. Such factors cause weight drift