Digital and Kalman Filtering: An Introduction to Discrete-Time Filtering and Optimum Linear Estimation, Seco: An Introduction to Discrete-Time ... Second Edition (Dover Books on Engineering)

Book Details

• Publisher: Dover

• Author: Bozic, S. M.

• Language: English

• Edition: Not Defined

• ISBN: 9780486817354

• Pages: 176

• Cover: Paperback

• Dimensions: 9.6 x 6.8 x 0.5 inches

About The Book

Digital and Kalman Filtering: An Introduction to Discrete-Time Filtering and Optimum Linear Estimation by S. M. Bozic, published by Dover, offers a clear and concise introduction to the critical topics of digital filtering, filter design, and signal estimation—key components in modern electrical engineering and signal processing.

Aimed at advanced undergraduate and graduate students, this 176-page illustrated paperback is structured in a tutorial format, gradually building up concepts and techniques with clarity and precision. The first half of the book delves into the fundamentals of digital filtering, including FIR (Finite Impulse Response) and IIR (Infinite Impulse Response) filter design. The second half shifts focus to signal estimation in noisy environments, introducing essential tools like FIR Wiener estimation, Kalman filtering, and optimal vector signal estimation.

Though compact in format, the text assumes a working knowledge of basic circuit theory, statistical averages, and elementary matrix algebra. Rich with worked examples and end-of-chapter problems—many with solutions—this edition is especially suited for learners looking to gain hands-on experience and a strong theoretical foundation.

With updated content and added problem sets, this edition is an excellent resource for anyone studying or working in the fields of signal processing, communications, control systems, or electrical engineering.