Adaptive Filtering : Fundamentals and Applications

Language: English

Published by LAP LAMBERT Academic Publishing, 2011

3846548022 / 9783846548028

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nach der Bestellung gedruckt Neuware - Printed after ordering - Adaptive filtering techniques are widely used to cope with the variations of system parameters. In FIR adaptive filtering, the filter weights are updated iteratively by minimizing the MSE of the difference between the desired response of the adaptive filter and its output. However, most of the existing adaptive filters experience many difficulties; fixed-step size which provides poor performance in highly correlated environments, high computational complexity, stability due to the inversion of the autocorrelation matrix, tracking ability in non-stationary and impulsive noise environments. The novelty of this work resides in introducing new FIR adaptive filtering algorithms. These algorithms have been proposed to overcome some of the difficulties experienced with the existing adaptive filtering techniques. These approaches use a variable step-size and the instantaneous value of the autocorrelation matrix in the coefficient update equation that leads to an improved performance. Avoiding the use of the inverse autocorrelation matrix, as the case of RLS algorithm, would provide more stable performance.…

Seller Inventory # 9783846548028

Title
Adaptive Filtering : Fundamentals and Applications
Author
Osman Kukrer
Publisher
LAP LAMBERT Academic Publishing
Publication year
2011
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3846548022
ISBN 13
9783846548028
Item weight
173 grams
Dimensions
220x150x7 mm

AHA-BUCH GmbH

Einbeck, Germany

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