Optimal Filtering
This graduate-level text augments and extends beyond undergraduate studies of signal processing, particularly in regard to communication systems and digital filtering theory. Vital for students in the fields of control and communications, its contents are also relevant to students in such diverse areas as statistics, economics, bioengineering, and operations research.Topics include filtering, linear systems, and estimation; the discrete-time Kalman filter; time-invariant filters; properties of Kalman filters; computational aspects; and smoothing of discrete-time signals. Additional subjects encompass applications in nonlinear filtering; innovations representations, spectral factorization, and Wiener and Levinson filtering; parameter identification and adaptive estimation; and colored noise and suboptimal reduced order filters. Each chapter concludes with references, and four appendixes contain useful supplementary material.
1102000567
Optimal Filtering
This graduate-level text augments and extends beyond undergraduate studies of signal processing, particularly in regard to communication systems and digital filtering theory. Vital for students in the fields of control and communications, its contents are also relevant to students in such diverse areas as statistics, economics, bioengineering, and operations research.Topics include filtering, linear systems, and estimation; the discrete-time Kalman filter; time-invariant filters; properties of Kalman filters; computational aspects; and smoothing of discrete-time signals. Additional subjects encompass applications in nonlinear filtering; innovations representations, spectral factorization, and Wiener and Levinson filtering; parameter identification and adaptive estimation; and colored noise and suboptimal reduced order filters. Each chapter concludes with references, and four appendixes contain useful supplementary material.
26.95 In Stock
Optimal Filtering

Optimal Filtering

by Brian D. O. Anderson, John B. Moore
Optimal Filtering

Optimal Filtering

by Brian D. O. Anderson, John B. Moore

eBook

$26.95 

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Overview

This graduate-level text augments and extends beyond undergraduate studies of signal processing, particularly in regard to communication systems and digital filtering theory. Vital for students in the fields of control and communications, its contents are also relevant to students in such diverse areas as statistics, economics, bioengineering, and operations research.Topics include filtering, linear systems, and estimation; the discrete-time Kalman filter; time-invariant filters; properties of Kalman filters; computational aspects; and smoothing of discrete-time signals. Additional subjects encompass applications in nonlinear filtering; innovations representations, spectral factorization, and Wiener and Levinson filtering; parameter identification and adaptive estimation; and colored noise and suboptimal reduced order filters. Each chapter concludes with references, and four appendixes contain useful supplementary material.

Product Details

ISBN-13: 9780486136899
Publisher: Dover Publications
Publication date: 04/25/2012
Series: Dover Books on Electrical Engineering
Sold by: Barnes & Noble
Format: eBook
Pages: 368
File size: 18 MB
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About the Author

Brian D. O. Anderson and John B. Moore

Table of Contents

Preface1. Introduction2. Filtering, Linear Systems, and Estimation3. The Discrete-time Kalman Filter4. Time-Invariant Filters5. Kalman Filter Properties6. Computational Aspects7. Smoothing of Discrete-Time Signals8. Applications in Nonlinear Filtering9. Innovations Representations, Spectral Factorization, Wiener and Levinson Filtering10. Parameter Identification and Adaptive Estimation11. Colored Noise and Suboptimal Reduced Order FiltersAppendixesAuthor and Subject Indexes
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