General

Authors

Search


Committee login



 
 

 


 

 

Forthcoming

Small thumbnail

Reliability Investigation of LED Devices for Public Light Applications

Durability, Robustness and Reliability of Photonic Devices Set

Small thumbnail

Aerospace Actuators 2

Signal-by-Wire and Power-by-Wire

Small thumbnail

Flash Memory Integration

Performance and Energy Considerations

Small thumbnail

Mechanics of Aeronautical Solids, Materials and Structures

Small thumbnail

Engineering Investment Process

Making Value Creation Repeatable

Small thumbnail

Space Strategy

Small thumbnail

Distributed Systems

Concurrency and Consistency

Small thumbnail

Fatigue of Textile and Short Fiber Reinforced Composites

Durability and Ageing of Organic Composite Materials Set – Volume 1

Small thumbnail

Management of the Effects of Coastal Storms

Policy, Scientific and Historical Perspectives

Small thumbnail

Computational Color Science

Variational Retinex-like Methods

Small thumbnail

Discrete Stochastic Processes and Optimal Filtering

Second Edition

Jean-Claude Bertein, ESIEE, Paris, France Roger Ceschi, ESIEE, Amiens, France

ISBN: 9781848211810

Publication Date: December 2009   Hardback   304 pp.

160.00 USD


Add to cart

eBooks


Ebook Ebook

Description

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.

Contents

1. Random Vectors.
2. Gaussian Vectors.
3. Introduction to Discrete Time Processes.
4. Estimation.
5. The Wiener Filter.
6. Adaptive Filtering: Algorithms for Gradients and the LMS.
7. The Kalman Filter.

About the Authors

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.

Downloads

DownloadTable of Contents - PDF File - 125 Kb

Related Titles



































0.03266 s.