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Digital and Kalman Filtering: An Introduction to Discrete-Time Filtering and Optimum Linear Estimati

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This text for advanced undergraduates and graduate students provides a concise introduction to increasingly important topics in electrical engineering: digital filtering, filter design, and applications in the form of the Kalman and Wiener filters. The first half focuses on digital filtering, covering FIR and IIR filter design and other concepts. The second half addresses filtering noisy data to extract a signal, with chapters on nonrecursive (FIR Wiener) estimation, recursive (Kalman) estimation, and optimum estimation of vector signals.

The treatment is presented in tutorial form, but readers are assumed to be familiar with basic circuit theory, statistical averages, and elementary matrices. Central topics are developed gradually, including both worked examples and problems with solutions, and this second edition features new material and problems.

The Dover edition is a reprint of the 2nd edition, first published in the UK

by Butterworth-Heinemann in 1994. There are no editorial changes or new material.

First Published in the US by The Halsted Press: An Imprint of John Wiley & Sons, Inc

Author: Bozic S.M.
Publisher: DOVER
Pages: 176
ISBN: 9780486817354
Cover: Paperback
Edition Number: 2
Release Year: 2018

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