Advanced Signal Processing: A Concise Guide - Hardcover

Najmi, Amir-Homayoon; Moon, Todd

Hardcover

ISBN 10: 1260458938 ISBN 13: 9781260458930

Publisher: McGraw Hill, 2020

Synopsis

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A comprehensive introduction to the mathematical principles and algorithms in statistical signal processing and modern neural networks. 

This text is an expanded version of a graduate course on advanced signal processing at the Johns Hopkins University Whiting school program for professionals with students from electrical engineering, physics, computer and data science, and mathematics backgrounds.  It covers the theory underlying applications in statistical signal processing including spectral estimation, linear prediction, adaptive filters, and optimal processing of uniform spatial arrays.  Unique among books on the subject, it also includes a comprehensive introduction to modern neural networks with examples in time series prediction and image classification.    

Coverage includes:

• Mathematical structures of signal spaces and matrix factorizations
• linear time-invariant systems and transforms
• Least squares filters
• Random variables, estimation theory, and random processes
• Spectral estimation and autoregressive signal models
• linear prediction and adaptive filters
• Optimal processing of linear arrays
• Neural networks
  
  
  
  
  

About this title

About the Author

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. 

From the Back Cover

“Najmi and Moon's book helps fill a long-standing gap in graduate-level textbooks on signal processing, which typically cover either classical methods only, or are more akin to research monographs and specialized to narrower topics. I have been looking for a more broad treatment that covers both the old and the new "under one roof," with sufficient mathematical rigor but without diving too deep into details that might discourage students along the way. This is the best book I have found that meets these goals—it's both comprehensive and comprehensible, written at the right level for the graduate student population in my courses.”

—A. Lee Swindlehurst, Professor, Dept. of Electrical Engineering & Computer Science, Henry Samueli School of Engineering

"An excellent resource for all signal processing practitioners and students. The authors have successfully brought together in one place a diverse collection of essential signal analysis techniques that must be part of every engineer’s tool set."

—V John Mathews, Professor, School of Electrical Engineering & Computer Science, Oregon State University

“This textbook is aimed at a diverse set of mathematically inclined students of electrical engineering, computer science, applied mathematics, and physics. It brings together a comprehensive set of advanced signal processing techniques and algorithms in a self-contained and consistent mathematical notation. The authors have succeeded in 300 pages what other texts with more than twice the number of pages have attempted before. They have also included an informative chapter on modern neural networks - a novel and timely addition to a textbook on advanced signal processing.”

Majid Rabbani, Ph.D.IEEE and SPIE Fellow Visiting Professor, Rochester Institute of Technology, NY

Edition details

• Publisher: McGraw Hill
• Publication date: 2020
• Language: English
• ISBN 10: 1260458938
• ISBN 13: 9781260458930
• Binding: Hardcover
• Edition number: 1
• Number of pages: 352