Discrete Stochastic Processes and Optimal Filtering

Jean-Claude Bertein

ISBN 10: 1905209746 / ISBN 13: 9781905209743

Published by Wiley Mai 2007, 2007

About this Item

Neuware - 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.

Seller Inventory # 9781905209743

Bibliographic Details

• Title: Discrete Stochastic Processes and Optimal Filtering
• Publisher: Wiley Mai 2007
• Publication Date: 2007
• Language: English
• ISBN 10: 1905209746
• ISBN 13: 9781905209743
• Binding: Buch
• Condition: Neu
• Dimensions: 238W x 157H x 21D millimeters 238 millimeters width by 157 millimeters height by 21 millimeters depth
• Weight: 581 grams

About this title

Synopsis

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.

About the Author

Jean-Claude Bertein has a Master’s and PhD degree from the University of Paris VI. He was formerly a research engineer at Alcatel and today is Professor in the Department of Mathematics and Physics at the Graduate School of Electrical and Electronic Engineering (ESIEE) Paris.

Roger Ceschi is an ENSEA engineer and holds a Master’s and PhD degree from the University of Paris XI. He was formerly Director of the ENSEA and today he is Director General of the ESIEE Amiens. He is also the author of a theorem on analytic signals and is Visiting Professor at the BIPT and BIT Universities in China.