Advanced Signal Processing: A Concise Guide (Paperback)

Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. 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

General

Imprint:	McGraw-Hill Education
Country of origin:	United States
Release date:	September 2020
First published:	2021
Authors:	Amir-Homayoon Najmi • Todd Moon
Dimensions:	193 x 242 x 24mm (L x W x T)
Format:	Paperback
Pages:	352
ISBN-13:	978-1-260-45893-0
Categories:	Books > Computing & IT > Applications of computing > Signal processing Books > Professional & Technical > Energy technology & engineering > Electrical engineering > General
LSN:	1-260-45893-8
Barcode:	9781260458930

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