Research Catalog

Title

Principles of adaptive filters and self-learning systems / A. Zaknich.

Author

Zaknich, Anthony.

Publication

[London] : Springer London, 2005.

Items in the Library & Off-site

Details

Description

xxii, 386 pages : illustrations; 23 cm.

Summary

"Professor Zaknich provides an ideal textbook for one-semester introductory graduate or senior undergraduate courses in adaptive and self-learning systems for signal processing applications. Important topics are introduced and discussed sufficiently to give the reader adequate background for confident further investigation. The material is presented in a progression from a short introduction to adaptive systems through modelling, classical filters and spectral analysis to adaptive control theory, nonclassical adaptive systems and applications."--BOOK JACKET.

Series Statement

Advanced textbooks in control and signal processing

Uniform Title

Advanced textbooks in control and signal processing.

Subject

• Adaptive filters > Mathematics
• Artificial intelligence

Bibliography (note)

• Includes bibliographical references and index.

Contents

1. Adaptive filtering -- 2. Linear systems and stochastic processes -- 3. Optimisation and least square estimation -- 4. Parametric signal and system modelling -- 5. Optimum Wiener filter -- 6. Optimal Kalman filter -- 7. Power spectral density analysis -- 8. Adaptive finite impulse response filters -- 9. Frequency domain adaptive filters -- 10. Adaptive Volterra filters -- 11. Adaptive control systems -- 12. Introduction to neural networks -- 13. Introduction to fuzzy logic systems -- 14. Introduction to genetic algorithms -- 15. Applications of adaptive signal processing -- 16. Generic adaptive filter structures.

ISBN

1852339845 (pbk. : alk. paper)

LCCN

• 2005923608
• 9781852339845

OCLC

• ocm60767398
• SCSB-5208320

Owning Institutions

Columbia University Libraries