Description
Taylor & Francis Digital Signal Processing A Primer With Matlab® by Samir I. Abood
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. PrefaceAcknowledgments Author CHAPTER 1: Continuous and Discrete Signals1.1 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 MATLABProblemsCHAPTER 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 OutputProblemsCHAPTER 3: Convolution3.1 Preface on Linear Convolution3.2 Convolution Properties3.3 Types of ConvolutionsProblemsCHAPTER 4: Difference Equations4.1 Difference Equations and Impulse Responses 4.2 System Representation Using Its Impulse Response4.3 The methods that may use to solve the difference equations4.4 The classical approachProblemsCHAPTER 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 SeriesProblemsCHAPTER 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 MATLABProblemsCHAPTER 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 transformationProblemsCHAPTER 9: Z-Transform9.1 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 IntegrationProblemsCHAPTER 10: Z-Transform Applications in DSP10.1 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-transformProblemsCHAPTER 11: Pole-Zero Stability11.1 Concept Poles and Zeros11.2 Difference Equation and Transfer Function11.3 BIBO stability11.4 The z-Plane Pole-Zero Plot and Stability11.5 Stability rulesProblemsCHAPTER 12: Sampling12.1 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 QuantizationProblemsCHAPTER 13: Digital Filters13.1 TYPES OF FILTERS13.2 Infinite impulse response (IIR) digital filter13.3 Finite Impulse Response (FIR) Digital Filter13.4 Comparison of IIR and FIR digital filtersProblemsCHAPTER 14: Implementation of IIR14.1 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 filtersProblemsCHAPTER 15: Implementation of FIR15.1 Finite Impulse Response (FIR) Filter Design15.2 Design of Finite-Impulse Response Filters Using MATLAB 15.3 Design of FIR Filters Using Windows ProblemsCHAPTER 16: Digital Filter Design16.1 IIR filter design 16.1.1Analog filter design16.2 FIR filter designProblemsAppendicesAppendix A: Mathematical FormulaAppendix B: Complex NumbersAppendix C: Introduction to MATLAB (R)Index