Digital and Kalman Filtering

Name: Digital and Kalman Filtering
Brand: DOVER
Price: 35.4 AUD

Introduction to Discrete-Time Filtering and Optimum Linear Estimation

By: S. M. Bozic

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Paperback | 1 February 2019 | Edition Number 2

At a Glance

Paperback
176 Pages

Dimensions(cm)
22.9 x 15.2 x 1.0

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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, (NY:1994).

About the Author

S. M. Bozic studied at Belgrade University and received his Ph.D. from the United Kingdom's University of Aston. He was a lecturer in the School of Electronic and Electrical Engineering at the University of Birmingham, and his other books include Electronic and Switching Circuits.

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