Read more
This text emphasizes the intricate relationship between adaptive filtering and signal analysis - highlighting stochastic processes, signal representations and properties, analytical tools, and implementation methods. This second edition includes new chapters on adaptive techniques in communications and rotation-based algorithms. It provides practical applications in information, estimation, and circuit theories.
List of contents
Adaptive filtering and signal analysis; signals and noise; correlation function and matrix; gradient adaptive filters; linear prediction error filters; fast least squares transversal adaptive filters; other adaptive filter algorithms; lattice algorithms and geometrical approach; rotation-based algorithm; spectral analysis; circuits and miscellaneous applications; adaptive techniques in communications.
About the author
Maurice G. Bellanger is Professor of Electronics at the Conservatoire National des Arts et Metiers (CNAM), Paris, France. The author of numerous journal articles, he holds 16 patents and serves on the editorial board of Digital Signal Processing. A Fellow of the Institute of Electrical and Electronics Engineers, he received the undergraduate degree (1965) in electronics engineering from the Ecole Nationale Superieure des Telecommunications, Paris, France, and the Ph.D. degree (1981) from the University of Paris, Orsay.
Summary
Emphasizes the intricate relationship between adaptive filtering and signal analysis - highlighting stochastic processes, signal representations and properties, analytical tools, and implementation methods. This book includes chapters on adaptive techniques in communications and rotation-based algorithms.
