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Adaptive Filter Theory

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Beschreibung

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Adaptive Filter Theory, 5e, is ideal for courses in Adaptive Filters.

Haykin examines both the mathematical theory behind various linear adaptive filters and the elements of supervised multilayer perceptrons. In its fifth edition, this highly successful book has been updated and refined to stay current...

Beschreibung

<>

Adaptive Filter Theory, 5e, is ideal for courses in Adaptive Filters.

Haykin examines both the mathematical theory behind various linear adaptive filters and the elements of supervised multilayer perceptrons. In its fifth edition, this highly successful book has been updated and refined to stay current with the field and develop concepts in as unified and accessible a manner as possible.

Produktdetails

Einband

Taschenbuch
Erscheinungsdatum

26.07.2013
Verlag Pearson Education Limited
Seitenzahl

912

Produktdetails

Einband

Taschenbuch
Erscheinungsdatum

26.07.2013
Verlag Pearson Education Limited
Seitenzahl

912
Maße (L/B/H)

23,5/17,8/4,9 cm
Gewicht

1380 g
Auflage

5
Sprache

Englisch
ISBN

978-0-273-76408-3
Herstelleradresse

Pearson
St.-Martin-Straße 82
81541 München
DE

Email: salesde@pearson.com

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  • Produktbild: Adaptive Filter Theory
    • Chapter 1            Stochastic Processes and Models
    • Chapter 2            Wiener Filters
    • Chapter 3            Linear Prediction
    • Chapter 4            Method of Steepest Descent
    • Chapter 5            Method of Stochastic Gradient Descent
    • Chapter 6            The Least-Mean-Square (LMS) Algorithm
    • Chapter 7            Normalized Least-Mean-Square (LMS) Algorithm and Its Generalization
    • Chapter 8            Block-Adaptive Filters
    • Chapter 9            Method of Least Squares
    • Chapter 10            The Recursive Least-Squares (RLS) Algorithm
    • Chapter 11            Robustness
    • Chapter 12            Finite-Precision Effects
    • Chapter 13            Adaptation in Nonstationary Environments
    • Chapter 14            Kalman Filters
    • Chapter 15            Square-Root Adaptive Filters
    • Chapter 16            Order-Recursive Adaptive Filters
    • Chapter 17            Blind Deconvolution