Advanced Signal Processing: A Concise Guide - Najmi, Amir-Homayoon; Moon, Todd
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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…mehr

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Produktbeschreibung
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
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Autorenporträt
Amir-Homayoon Najmi, Ph.D., was a Fulbright scholar at the Relativity Centre, University of Texas. He has published research in wide areas including quantum field theory in cosmological space-times, seismic inverse scattering, adaptive signal processing applied to electromagnetic waves and biosurveillance. Todd Moon, Ph.D., is head of the Electrical and Computer Engineering Department at Utah State University. He has been published extensively on digital communications theory and signal processing.