Understanding Digital Signal Processing with MATLAB® and Solutions

Author:   Alexander D. Poularikas (The University of Alabama in Huntsville, USA)
Publisher:   Taylor & Francis Ltd
ISBN:  

9781138081437


Pages:   455
Publication Date:   09 November 2017
Format:   Hardback
Availability:   In Print   Availability explained
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Understanding Digital Signal Processing with MATLAB® and Solutions


Overview

The book discusses receiving signals that most electrical engineers detect and study. The vast majority of signals could never be detected due to random additive signals, known as noise, that distorts them or completely overshadows them. Such examples include an audio signal of the pilot communicating with the ground over the engine noise or a bioengineer listening for a fetus’ heartbeat over the mother’s. The text presents the methods for extracting the desired signals from the noise. Each new development includes examples and exercises that use MATLAB to provide the answer in graphic forms for the reader's comprehension and understanding.

Full Product Details

Author:   Alexander D. Poularikas (The University of Alabama in Huntsville, USA)
Publisher:   Taylor & Francis Ltd
Imprint:   CRC Press
Weight:   1.133kg
ISBN:  

9781138081437


ISBN 10:   1138081434
Pages:   455
Publication Date:   09 November 2017
Audience:   College/higher education ,  General/trade ,  Tertiary & Higher Education ,  General
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Abbreviations Chapter 1 Continuous and Discrete Signals Chapter 2 Fourier Analysis of Continuous and Discrete Signals Chapter 3 The z-Transform, Difference Equations, and Discrete Systems Chapter 4 Finite Impulse Response (FIR) Digital Filter Design Chapter 5 Random Variables, Sequences, and Probability Functions Chapter 6 Linear Systems with Random Inputs, Filtering, and Power Spectral Density Chapter 7 Least Squares-Optimum Filtering Chapter 8 Nonparametric (Classical) Spectra Estimation Chapter 9 Parametric and Other Methods for Spectra Estimation Chapter 10 Newton’s and Steepest Descent Methods Chapter 11 The Least Mean Square (LMS) Algorithm Chapter 12 Variants of Least Mean Square Algorithm Chapter 13 Nonlinear Filtering Appendix 1: Suggestions and Explanations for MATLAB Use Appendix 2: Matrix Analysis Appendix 3: Mathematical Formulas Appendix 4: MATLAB Function Bibliography Index

Reviews

Timely and fundamental subject, sparking interest for students and engineers alike. Starts from the basics and builds up the complexity in a logic and very understandable way, so that both beginners and experienced professionals will be able to profit from the book.The book is very useful as a reference, with an extensive set of digital processing operations and clear MATLAB examples and proposed exercises for all of them. The reader can easily find everything related to one specific topic (eg. Fourier transform). - Alexandre Giulietti de Barros, Teledyne Anafocus, Spain


Author Information

Dr. Poularikas previously held the positions of Professor at University of Rhode Island, Kingston, USA, Chairman of the Engineering Department at the University of Denver, Colorado, USA, and Chairman of the Electrical and Computer Engineering Department at the University of Alabama in Huntsville, USA. He has published, coauthored, and edited 14 books and served as an editor-in-chief of numerous book series. A Fulbright scholar, lifelong senior member of the IEEE, and member of Tau Beta Pi, Sigma Nu, and Sigma Pi, he received the IEEE Outstanding Educators Award, Huntsville Section in both 1990 and 1996. Dr. Poularikas holds a Ph.D from the University of Arkansas, Fayetteville, USA.

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