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A no-nonsense guide to the fundamentals and applications of statistical signal processing

Ideal for upper-undergraduate and graduate courses, this engineering textbook offers key signal analysis principles and uses and explains the necessary underlying mathematics. Coverage includes representation and approximation theory in vector spaces, the orthogonality principle, the least squares problem, minimum mean square estimation, and the Wiener-Hopf equation.

Signal Analysis: A Concise Guide clearly explains linear systems and signals and the concepts behind them. The book covers matrix factorizations, optimal linear filter theory, classical and modern spectral estimation, adaptive filters, and processing of spatial arrays. You will also explore linear optima filters, eigrn decomposition methods, the singular value decomposition, adaptive linear filters, noise cancellation, and spectral estimation.

• * Includes exercises for computer implementation using MATLAB
  * Presents the core material in a succinct format
  * Written by a team of renowned academics with multiple teaching awards
  

Book Information
ISBN 9781260458930
Author Amir-Homayoon Najmi
Format Paperback
Page Count 352
Imprint McGraw-Hill Education
Publisher McGraw-Hill Education
Weight(grams) 823g
Dimensions(mm) 229mm * 185mm * 25mm