Principles of adaptive filters and self-learning systems
[Book]
/ A. Zaknich
[London]
: Springer London,
, 2005.
xxii, 386 p. , ill. , 23 cm.
(Advanced textbooks in control and signal processing, 1439-2232)
JL20051129
RACQ20051013 CS
ESJ20051205
RACQ20051005 IS
Electronic
Includes bibliographical references (p. 373-380) and index.
Part I. Introduction: -- 1. Adaptive filtering -- 2. Linear systems and stochastic processes -- Part II. Modelling: -- 3. Optimisation and least square estimation -- 4. Parametric signal and system modelling -- Part III. Classical filters and spectral analysis: -- 5. Optimum Wiener filter -- 6. Optimal Kalman filter -- 7. Power spectral density analysis -- Part IV. Adaptive filter theory: -- 8. Adaptive finite impulse response filters -- 9. Frequency domain adaptive filters -- 10. Adaptive Volterra filters -- 11. Adaptive control systems -- Part V. Nonclassical adaptive systems: -- 12. Introduction to neural networks -- 13. Introduction to fuzzy logic systems -- 14. Introduction to genetic algorithms -- Part VI. Adaptive filter application: -- 15. Applications of adaptive signal processing -- 16. Generic adaptive filter structures.
Adaptive filters , Design and construction , Mathematics