Digital Signal Processing:
A Primer with MATLAB (R) provides excellent coverage of discrete-time signals and systems. At the beginning of each chapter, an abstract states the chapter objectives. All principles are also presented in a lucid, logical, step-by-step approach. As much as possible, the authors avoid wordiness and detail overload that could hide concepts and impede understanding.
In recognition of requirements by the Accreditation Board for Engineering and Technology (ABET) on integrating computer tools, the use of MATLAB (R) is encouraged in a student-friendly manner. MATLAB is introduced in Appendix C and applied gradually throughout the book.
Each illustrative example is immediately followed by practice problems along with its answer. Students can follow the example step-by-step to solve the practice problems without flipping pages or looking at the end of the book for answers. These practice problems test students' comprehension and reinforce key concepts before moving onto the next section.
Toward the end of each chapter, the authors discuss some application aspects of the concepts covered in the chapter. The material covered in the chapter is applied to at least one or two practical problems. It helps students see how the concepts are used in real-life situations.
Also, thoroughly worked examples are given liberally at the end of every section. These examples give students a solid grasp of the solutions as well as the confidence to solve similar problems themselves. Some of hte problems are solved in two or three ways to facilitate a deeper understanding and comparison of different approaches.
Designed for a three-hour semester course, Digital Signal Processing:
A Primer with MATLAB (R) is intended as a textbook for a senior-level undergraduate student in electrical and computer engineering. The prerequisites for a course based on this book are knowledge of standard mathematics, including calculus and complex numbers.
Samir I. Abood (Prairie View A&M University Texas USA)
Country of Publication:
04 February 2020
Preface Acknowledgments Author CHAPTER 1: Continuous and Discrete Signals 1.1 Continuous Signals 1.2 Discrete-Time Signals 1.3 Signals and System 1.4 Classification of Signals and System:- 1.5 Introduction to MATLAB in DSP 1.6 Some Fundamental Sequences 1.7 Generation of discrete signals in MATLAB Problems CHAPTER 2: Signals and System Properties 2.1 Periodic and Aperiodic Sequences 2.2 Even and Odd Parts of a Signal Symmetric Sequences 2.3 Signal Manipulations 2.3.1 Transformations of the Independent Variable 2.4 discrete-time systems 2.5 Linear time-invariant causal systems (LTI) 2.6 Definitions 2.7 System Output Problems CHAPTER 3: Convolution 3.1 Preface on Linear Convolution 3.2 Convolution Properties 3.3 Types of Convolutions Problems CHAPTER 4: Difference Equations 4.1 Difference Equations and Impulse Responses 4.2 System Representation Using Its Impulse Response 4.3 The methods that may use to solve the difference equations 4.4 The classical approach Problems CHAPTER 5: Discrete-Time Fourier Series(DTFS) 5.1 Discrete-Time Fourier Series (DTFS) Coefficients of Periodic Discrete Signals 5.2 Parseval's relation 5.3 Discreet Fourier Series Problems CHAPTER 6:Discrete Time Fourier Transform (DTFT) 6.1 Frequency response 6.2 DTFT for any discrete signal 6.3 Inverse DTFT 6.4 Interconnection of Systems 6.5 DTFT properties 6.6 Applications of DTFT 6.7 LSI Systems and difference equations 6.8 Solving Difference Equations using DTFT 6.9 Frequency Response in MATLAB Problems CHAPTER 7: Discrete Fourier Transform(DFT) 7.1 Method of Decimation-in-Frequency 7.2 Method of Decimation-in-Time 7.3 Properties of Discrete Fourier Transform 7.4 Discrete Fourier Transform of a sequence in MATLAB 7.4 Discrete Fourier Transform of a sequence in MATLAB 7.5 Linear convolution using the DFT 7.6 Generation of Inverse Discrete Fourier Transform (IDFT) in MATLAB Problems CHAPTER 8: Fast Fourier Transform(FFT) 8.1 Fast Fourier Transform definition 8.3 Finding the FFT Of Different Signals in MATLAB 8.4 Equivalence of FFT and N-phase sequence component transformation Problems CHAPTER 9: Z-Transform 9.1 Z-Transform representation 9.2 Region of convergence (ROC) 9.3 Properties of the z-Transform 9.4 The Inverse z-Transform 9.4.1Partial fraction expansion and a look-up table 9.4.2Power Series 9.4.3 Contour Integration Problems CHAPTER 10: Z-Transform Applications in DSP 10.1 Evaluation of LTI System Response Using Z-Transform 10.2 Frequency Response using z-transform: 10.3 Pole Zero Diagrams For A Function In Z Domain 10.4 Frequency Response using z-transform Problems CHAPTER 11: Pole-Zero Stability 11.1 Concept Poles and Zeros 11.2 Difference Equation and Transfer Function 11.3 BIBO stability 11.4 The z-Plane Pole-Zero Plot and Stability 11.5 Stability rules Problems CHAPTER 12: Sampling 12.1 Relating the FT to the DTFT for discrete-time signals 12.2 Sampling 12.3 Band-Limited Signals 12.4 Sampling of continuous-time signals 12.5 Sampling Theorem 12.6 Bandpass Sampling 12.7 Quantization 12.8 Uniform and Non-uniform Quantization 12.9 Bandpass Sampling 12.10 Quantization 12.11 Uniform and Non-uniform Quantization Problems CHAPTER 13: Digital Filters 13.1 TYPES OF FILTERS 13.2 Infinite impulse response (IIR) digital filter 13.3 Finite Impulse Response (FIR) Digital Filter 13.4 Comparison of IIR and FIR digital filters Problems CHAPTER 14: Implementation of IIR 14.1 Direction-Form I Realization 14.2 Direction-Form II Realization 14.3 Cascade (Series) Realization 14.4 Parallel Realization 14.5 the transposition I 14.6 the transposition II 14.7 Implementation of a notch filter by MATLAB 14.8 Implementation of Infinite-Impulse Response filters Problems CHAPTER 15: Implementation of FIR 15.1 Finite Impulse Response (FIR) Filter Design 15.2 Design of Finite-Impulse Response Filters Using MATLAB 15.3 Design of FIR Filters Using Windows Problems CHAPTER 16: Digital Filter Design 16.1 IIR filter design 16.1.1Analog filter design 16.2 FIR filter design Problems Appendices Appendix A: Mathematical Formula Appendix B: Complex Numbers Appendix C: Introduction to MATLAB (R) Index
Samir I. Abood received his BSc and MSc from the University of Technology, Baghdad, Iraq in 1996 and 2001 respectively. From 1997 to 2001, he worked as an engineer at the same university. From 2001 to 2003, he was an assistant professor at the University of Baghdad and AL-Nahrain University, and from 2003 to 2016. Mr. Abood was an assistant professor at Middle Technical University / Baghdad - Iraq. Presently, he is doing his Ph.D. in the Electrical and Computer Engineering Department at Prairie View A & M University.