Discrete Stochastic Processes and Optimal Filtering
Copyright © 2007 ISTE Ltd.
Editor(s): Jean-Claude Bertein, Roger Ceschi
Published Online: 19 JAN 2010
Print ISBN: 9781905209743
Online ISBN: 9780470612293
About this Book
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.