Understanding Digital Signal Processing with MATLAB® and Solutions
Autor Alexander D. Poularikasen Limba Engleză Paperback – 31 mar 2021
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| CRC Press – 31 mar 2021 | 518.54 lei 6-8 săpt. | |
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| CRC Press – 9 noi 2017 | 1023.93 lei 6-8 săpt. |
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Specificații
ISBN-13: 9780367779122
ISBN-10: 0367779129
Pagini: 472
Dimensiuni: 178 x 254 x 25 mm
Greutate: 1.14 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press
ISBN-10: 0367779129
Pagini: 472
Dimensiuni: 178 x 254 x 25 mm
Greutate: 1.14 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press
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Cuprins
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
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
Notă biografică
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.
Recenzii
"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
"The book deals with methods for processing noisy signals. The contents is fairly complete and covers all important topics ranging from discrete and continuous Fourier processing, digital filtering to random signal processing and nonlinear filtering."
-Hans-Georg Stark (Aschaffenburg)
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
"The book deals with methods for processing noisy signals. The contents is fairly complete and covers all important topics ranging from discrete and continuous Fourier processing, digital filtering to random signal processing and nonlinear filtering."
-Hans-Georg Stark (Aschaffenburg)
Descriere
Descriere de la o altă ediție sau format:
The book discusses 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. The text presents the methods for extracting the desired signals from the noise. It includes examples that use MATLAB.
The book discusses 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. The text presents the methods for extracting the desired signals from the noise. It includes examples that use MATLAB.