//]]>
Item type | Location | Call Number | Status | Notes | Date Due |
---|---|---|---|---|---|
Book | AUM Main Library | 621.3822 B465 (Browse Shelf) | Available | JBC/2011/11264 |
621.3822 A288Adaptive signal processing : | 621.3822 A288Adaptive signal processing : | 621.3822 A383Advanced signal processing : | 621.3822 B465Discrete stochastic processes and optimal filtering / | 621.3822 B535Digital alias-free signal processing / | 621.3822 B715Discover signal processing : |
Translated from French.
Includes bibliographical references and index.
Optimal filtering applied to stationary and non-stationary signals provides the most efficient means of dealing with problems arising from the extraction of noise signals. Moreover, it is a fundamental feature in a range of applications, such as in navigation in aerospace and aeronautics, filter processing in the telecommunications industry, etc. This book provides a comprehensive overview of this area, discussing random and Gaussian vectors, outlining the results necessary for the creation of Wiener and adaptive filters used for stationary signals, as well as examining Kalman filters which are used in relation to non-stationary signals. Exercises with solutions feature in each chapter to demonstrate the practical application of these ideas using MATLAB.
There are no comments for this item.