Digital Signal Processing A Primer With MATLAB®

Digital Signal Processing:A Primer with MATLAB® provides excellent coverage of discrete-time signals and systems. At the beginning of each chapter, an abstract states the chapter objectives. Allprinciples are alsopresented 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® 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 tofacilitate a deeper understanding and comparison of different approaches. Designed for a three-hour semestercourse, Digital Signal Processing:A Primer with MATLAB® 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.

Preface Acknowledgments Author CHAPTER 1: Continuous and Discrete Signals 1.1 Continuous Signals1.2 Discrete-Time Signals1.3 Signals and System 1.4 Classification of Signals and System:-1.5 Introduction to MATLAB in DSP1.6 Some Fundamental Sequences1.7 Generation of discrete signals in MATLABProblems CHAPTER 2: Signals and System Properties2.1 Periodic and Aperiodic Sequences2.2 Even and Odd Parts of a Signal Symmetric Sequences2.3 Signal Manipulations2.3.1 Transformations of the Independent Variable2.4 discrete-time systems2.5 Linear time-invariant causal systems (LTI)2.6 Definitions2.7 System OutputProblems CHAPTER 3: Convolution 3.1 Preface on Linear Convolution3.2 Convolution Properties3.3 Types of ConvolutionsProblems CHAPTER 4: Difference Equations 4.1 Difference Equations and Impulse Responses4.2 System Representation Using Its Impulse Response4.3 The methods that may use to solve the difference equations4.4 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 relation5.3 Discreet Fourier SeriesProblems CHAPTER 6:Discrete Time Fourier Transform (DTFT) 6.1 Frequency response6.2 DTFT for any discrete signal 6.3 Inverse DTFT 6.4 Interconnection of Systems6.5 DTFT properties6.6 Applications of DTFT6.7 LSI Systems and difference equations6.8 Solving Difference Equations using DTFT6.9 Frequency Response in MATLABProblemsCHAPTER 7: Discrete Fourier Transform(DFT)7.1 Method of Decimation-in-Frequency7.2 Method of Decimation-in-Time7.3 Properties of Discrete Fourier Transform7.4 Discrete Fourier Transform of a sequence in MATLAB7.4 Discrete Fourier Transform of a sequence in MATLAB7.5 Linear convolution using the DFT 7.6 Generation of Inverse Discrete Fourier Transform (IDFT) in MATLABProblems CHAPTER 8: Fast Fourier Transform(FFT) 8.1 Fast Fourier Transform definition8.3 Finding the FFT Of Different Signals in MATLAB8.4 Equivalence of FFT and N-phase sequence component transformationProblems CHAPTER 9: Z-Transform 9.1 Z-Transform representation9.2 Region of convergence (ROC) 9.3 Properties of the z-Transform9.4 The Inverse z-Transform9.4.1Partial fraction expansion and a look-up table9.4.2Power Series9.4.3 Contour Integration Problems CHAPTER 10: Z-Transform Applications in DSP 10.1 Evaluation of LTI System Response Using Z-Transform10.2 Frequency Response using z-transform:10.3 Pole Zero Diagrams For A Function In Z Domain10.4 Frequency Response using z-transformProblems CHAPTER 11: Pole-Zero Stability 11.1 Concept Poles and Zeros11.2 Difference Equation and Transfer Function11.3 BIBO stability11.4 The z-Plane Pole-Zero Plot and Stability11.5 Stability rulesProblems CHAPTER 12: Sampling 12.1 Relating the FT to the DTFT for discrete-time signals12.2 Sampling 12.3 Band-Limited Signals12.4 Sampling of continuous-time signals12.5 Sampling Theorem12.6 Bandpass Sampling12.7 Quantization 12.8 Uniform and Non-uniform Quantization12.9 Bandpass Sampling12.10 Quantization 12.11 Uniform and Non-uniform QuantizationProblems CHAPTER 13: Digital Filters 13.1 TYPES OF FILTERS13.2 Infinite impulse response (IIR) digital filter13.3 Finite Impulse Response (FIR) Digital Filter13.4 Comparison of IIR and FIR digital filtersProblems CHAPTER 14: Implementation of IIR 14.1 Direction-Form I Realization14.2 Direction-Form II Realization14.3 Cascade (Series) Realization14.4 Parallel Realization14.5 the transposition I14.6 the transposition II14.7 Implementation of a notch filter by MATLAB 14.8 Implementation of Infinite-Impulse Response filtersProblems CHAPTER 15: Implementation of FIR 15.1 Finite Impulse Response (FIR) Filter Design15.2 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 design16.2 FIR filter designProblems AppendicesAppendix A: Mathematical FormulaAppendix B: Complex NumbersAppendix C: Introduction to MATLAB®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.