Description
Wiley Signal and systems 2021 Edition by Barry Van Veen Simon Haykin
Signals and Systems is a well-established textbook, suitable for an undergraduate level course on signals and systems for students in electronics and communication, electrical and electronics, and computer science engineering programs. The book introduces the concepts of signals and systems, classification and operations on signals, and then focuses on system analysis using Fourier analysis, and Laplace and z-transforms. It then concentrates on the aspects that are most relevant for applications such as communication systems, design of filters, and control systems.About the AuthorSimon Haykin is a University Professor at McMaster University, Hamilton, Ontario, Canada. His research interests include nonlinear dynamics, neural networks and adaptive filters and their applications in radar and communication systems. Dr. Haykin is the editor for a series of books on "Adaptive and Learning Systems for Signal Processing, Communications and Control" published by John Wiley & Sons, Inc. He is both an IEEE Fellow and Fellow of the Royal Society of Canada. Barry Van Veen is Professor, University of Wisconsin, USA. Table of Contents: - CHAPTER 1 Introduction1.1 What Is a Signal?1.2 Classification of Signals1.3 Basic Operations on Signals1.4 Elementary Signals1.5 What Is a Signal?1.6 Overview of Specific Systems1.7 Systems Viewed as Interconnections of Operations1.8 Properties of Systems1.9 Noise1.10 Theme Examples1.11 Exploring Concepts with MATLAB1.12 Summary CHAPTER 2 Time-Domain Representations of Linear Time-Invariant Systems2.1 Introduction2.2 The Convolution Sum2.3 Convolution Sum Evaluation Procedure2.4 The Convolution Integral2.5 Convolution Integral Evaluation Procedure2.6 Interconnections of LTI Systems2.7 Relations between LTI System Properties and the Impulse Response2.8 Step Response2.9 Differential and Difference Equation Representations of LTI Systems2.10 Solving Differential and Difference Equations2.11 Characteristics of Systems Described by Differential and Difference Equations2.12 Block Diagram Representations2.13 State-Variable Descriptions of LTI Systems2.14 Exploring Concepts with MATLAB2.15 Summary CHAPTER 3 Fourier Representations of Signals and Linear Time-Invariant Systems3.1 Introduction3.2 Complex Sinusoids and Frequency Response of LTI Systems3.3 Fourier Representations for Four Classes of Signals3.4 Discrete-Time Periodic Signals: The Discrete-Time Fourier Series3.5 Continuous-Time Periodic Signals: The Fourier Series3.6 Discrete-Time Nonperiodic Signals: The Discrete-Time Fourier Transform3.7 Continuous-Time Nonperiodic Signals: The Fourier Transform3.8 Properties of Fourier Representations3.9Finding Inverse Fourier Transforms by Using Partial-Fraction Expansions3.10 Parseval Relationships3.11 Time–Bandwidth Product3.12 Duality3.13 Exploring Concepts with MATLAB3.14 Summary CHAPTER 4 Applications of Fourier Representations to Mixed Signal Classes4.1 Introduction4.2 Fourier Transform Representations of Periodic Signals4.3 Convolution and Multiplication with Mixtures of Periodic and Nonperiodic Signals4.4 Fourier Transform Representation of Discrete-Time Signals4.5 Sampling4.6 Reconstruction of Continuous-Time Signals from Samples4.7 Discrete-Time Processing of Continuous-Time Signals4.8 Fourier Series Representations of Finite-Duration Nonperiodic Signals4.9 The Discrete-Time Fourier Series Approximation to the Fourier Transform4.10 Efficient Algorithms for Evaluating the DTFS4.11 Exploring Concepts with MATLAB4.12 Summary CHAPTER 5 Laplace Transform5.1 Introduction5.2 The Laplace Transform5.3 The Unilateral Laplace Transform5.4 Properties of the Unilateral Laplace Transform5.5 Inversion of the Unilateral Laplace Transform5.6 Solving Differential Equations with Initial Conditions5.7 Laplace Transform Methods in Circuit Analysis5.8 Properties of the Bilateral Laplace Transform5.9 Properties of the Region of Convergence5.10 Inversion of the Bilateral Laplace Transform5.11 The Transfer Function5.12 Causality and Stability5.13 Determining the Frequency Response from Poles and Zeros5.14 Exploring Concepts with MATLAB5.15 Summary CHAPTER 6 Z-Transform6.1 Introduction6.2 The z-Transform6.3 Properties of the Region of Convergence6.4 Properties of the z-Transform6.5 Inversion of the z-Transform6.6 The Transfer Function6.7 Causality and Stability6.8 Determining the Frequency Response from Poles and Zeros6.9 Computational Structures for Implementing Discrete-Time LTI Systems6.10 The Unilateral z-Transform6.11 Exploring Concepts with MATLAB67.12 Summary CHAPTER 7 Application to Communication Systems7.1 Introduction7.2 Types of Modulation7.3 Benefits of Modulation7.4 Full Amplitude Modulation7.5 Double Sideband-Suppressed Carrier Modulation7.6 Quadrature-Carrier Multiplexing7.7 Other Variants of Amplitude Modulation7.8 Pulse-Amplitude Modulation7.9 Multiplexing7.10 Phase and Group Delays7.11 Exploring Concepts with MATLAB7.12 Summary CHAPTER 8 Application to Filters and Equalizers8.1 Introduction8.2 Conditions for Distortionless Transmission8.3 Ideal Low-Pass Filters8.4 Design of Filters8.5 Approximating Functions8.6 Frequency Transformations8.7 Passive Filters8.8 Digital Filters8.9 FIR Digital Filters8.10 IIR Digital Filters8.11 Linear Distortion8.12 Equalization8.13 Exploring Concepts with MATLAB8.14 Summary CHAPTER 9 Application to Linear Feedback Systems9.1 Introduction9.2 What Is Feedback?9.3 Basic Feedback Concepts9.4 Sensitivity Analysis9.5 Effect of Feedback on Disturbance or Noise9.6 Distortion Analysis9.7 Summarizing Remarks on Feedback9.8 Operational Amplifiers9.9 Control Systems9.10 Transient Response of Low-Order Systems9.11 The Stability Problem9.12 Routh–Hurwitz Criterion9.13 Root Locus Method9.14 Nyquist Stability Criterion9.15 Bode Diagram9.16 Sampled-Data Systems9.17 Exploring Concepts with MATLAB9.18 SummaryAPPENDIX A Selected Mathematical IdentitiesA.1 TrigonometryA.2 Complex NumbersA.3 Geometric SeriesA.4 Definite IntegralsA.5 Matrices APPENDIX B Partial-Fraction ExpansionsB.1 Partial-Fraction Expansions of Continuous-Time RepresentationsB.2 Partial-Fraction Expansions of Discrete-Time Representation APPENDIX C Tables of Fourier Representations and PropertiesC.1 Basic Discrete-Time Fourier Series PairsC.2 Basic Fourier Series PairsC.3 Basic Discrete-Time Fourier Transform PairsC.4 Basic Fourier Transform PairsC.5 Fourier Transform Pairs for Periodic SignalsC.6 Discrete-Time Fourier Transform Pairs for Periodic SignalsC.7 Properties of Fourier RepresentationsC.8 Relating the Four Fourier RepresentationsC.9 Sampling and Aliasing Relationships APPENDIX D Tables of Laplace Transforms and PropertiesD.1 Basic Laplace TransformsD.2 Laplace Transform Properties APPENDIX E Tables of z-Tansforms and PropertiesE.1 Basic z-TransformsE.2 z-Transform Properties APPENDIX F Introduction to MATLABF.1 Basic Arithmetic RulesF.2 Variables and Variable NamesF.3 Vectors and MatricesF.4 Plotting in MATLABF.5 M-filesF.6 Additional Help INDEX