Higher Education

Introduction to Signal and System Analysis, 1st Edition

  • Kaliappan Gopalan Purdue University, Calumet
  • ISBN-10: 0534466060  |  ISBN-13: 9780534466060
  • 655 Pages
  • © 2009 | Published
  • College Bookstore Wholesale Price = $160.25
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The approach taken in Gopalan's text is to introduce students to the concepts and mathematical tools necessary to understand and appreciate the wide array of exciting fields in Electrical Engineering such as signal processing, control systems, and communications. The book is structured to introduce the basic continuous-time signal and system analysis concepts as an extension of familiar circuit analysis methods. A strong theoretical foundation for signal analysis is built, leading students to successfully discuss the various system analysis methods used in practice today. Use of MATLAB with appropriate examples has been integrated throughout the book.

Features and Benefits

  • Each chapter begins with an introduction to the chapter contents and ends with a summary of key concepts and mathematical results followed by homework problems.
  • Continuous and Discrete-Time signals and systems are treated in parallel for better understanding of the two and to motivate digital simulation and problem solving.
  • Sufficient mathematical rigor is provided relating to practical systems while minimizing discussions on less often used topics.
  • Numerous examples are provided throughout to illustrate the concepts and practical applicability.
  • End-of-chapter problems are thoughtfully designed to test and extend the understanding of concepts and to apply the concepts in practical applications.
  • MATLAB® examples are integrated throughout to assist in understanding the concepts by visualizing the results as well as to aid in solving practical problems.
  • Appendices are provided to give a quick background on complex number representations and operations, as well as commonly encountered mathematical operations.

Table of Contents

1 - Introduction
1.1 Basic Definitions
1.2 Classification of Signals and Systems
1.3 Frequency spectrum in Signal and System Analysis
1.4 Scope of the Text
Further Reading

2 - Mathematical Modeling and Properties of Basic Signals and Systems
2.1 Mathematical Modeling of Systems and Signals
2.2 Basic Signal Operations and Properties
2.3 Basic CT Signals
2.4 Basic DT Signals
2.5 Basic System Properties
2.6 Frequency Response and CT Filters
2.7 Discretization of CT Signal and System Models
2.8 Linearization of Nonlinear Systems
Key Equations
Further Reading

3 - Continuous-Time System Analysis in Time Domain
3.1 Impulse-Response Characterization and the Convolution Integral for CT LTI Systems
3.2 Step and Other Causal Signal Responses of CT LTI Systems
3.3 Properties of Convolution
3.4 LTI System Properties from Impulse Response
3.5 Obtaining the Impulse Response of CT LTI Systems
3.6 System Analysis from a Linear Differential-Equation Model
3.7 CT System Response to Complex and Real Sinusoids and the system Function
3.8 Block Diagram Representation for System Simulation
Key Equations

4 - Discrete-Time System Analysis in the Time Domain - The Convolution Summation and Classical Analysis
4.1 Impulse Response Characterization and the Convolution Summation
4.2 Step and Other Causal Signal Response of DT LTI Systems
4.3 Properties of the Convolution Summation
4.4 Obtaining the Impulse Response of DT LTI Systems
4.5 LTI System Properties from Impulse Response
4.6 System Analysis from the Difference-Equation Model
4.7 Forced Response to Complex and Real Sinusoids and the System Function
4.8 Block Diagram Representation for System Simulation
Key Equations
Further Reading

5 - Frequency Domain Analysis of CT Signals and Systems - The Fourier Series and the Fourier Transform Analysis
5.1 Representation of Signals using Basic Functions
5.2 Representation of Periodic Functions - The Exponential Fourier Series
5.2.1 Existence of Fourier Series
5.2.2 Other Forms of Fourier Series
5.2.3 Frequency Spectrum of Periodic Signals
5.2.4 Fourier Series Properties
5.2.5 Fourier Series Representation of an Ideal Impulse Train
5.2.6 System Analysis for Nonsinusoidal Periodic Inputs
5.3 Frequency Spectrum of Aperiodic Signals - The Fourier Transform
5.3.1 Existence of Fourier Transform
5.3.2 Fourier Transform of Basic Signals
5.3.3 Fourier Transform Properties
5.4 LTI System Analysis in the Frequency Domain
5.5 Ideal and Practical Filters
Key Equations
Further Reading

6 - System Analysis Using the Laplace Transform
6.1 The Bilateral and Unilateral Laplace Transforms
6.2 Laplace Transforms of Basic Signals
6.3 Laplace Transform Properties
6.4 Relationship between Fourier and Laplace Transforms
6.5 The Inverse Laplace Transform
6.6 Applications of the Laplace Transform in Solving Differential Equations
6.7 LTI System Transfer Functions
6.8 System Response and Stability from Transfer Functions
6.9 Step Response of Stable Systems
6.10 Sinusoidal Response of Stable Systems and the Frequency Response
6.11 Bode Plots
6.12 System Simulation
Key Equations
Further Reading

7 - The z Transform and Discrete-Time System Analysis
7.1 The z-Transform
7.2 Convergence of the z-Transform
7.3 Basic z-Transforms
7.4 Properties of the z-Transform
7.4.1 Right and Left Shifted Signals
7.4.2 Multiplication by an Exponential Signal
7.4.3 Differentiation in the z-Domain
7.4.4 Accumulation
7.4.5 Convolution of Signals
7.4.6 Initial Value
7.4.7 Time Reversal
7.5 The Inverse z-Transform
7.5.1 Pole-Zero Plots and Inverse of Rational Functions of z
7.5.2 Inverse z-Transform from a Power Series Expansion
7.6 Solving Difference Equations using z-Transforms
7.7 DT LTI System Characterization
7.7.1 DT LTI System Transfer Functions from Impulse-Response Characterization
7.7.2 Transfer Functions from Difference-Equation Models
7.7.3 System Properties and Modes from H(z)
7.8 Frequency Response of DT Systems
7.9 Representation of Discrete-Time Systems for Implementation
7.10 The z-Transform of Sampled Signals - Relationship to the Laplace Transform
Key Equations
Further Reading

8 - Frequency Domain Analysis of DT Signals and Systems - The DTFT and DFT Analysis
8.1 Spectrum of Sampled Signals and the Sampling Theorem
8.1.1 Aliasing
8.1.2 Signal Reconstruction
8.2 The Discrete-Time Fourier Transform
8.3 Properties of the Discrete-Time Fourier Transform
8.4 Frequency Domain Analysis of DT Systems
8.5 Discrete Fourier Transform and its Properties
8.6 Applications of the DFT in Signal and System Analysis
Key Equations
Further Reading

9 - State Variable Analysis of Continuous and Discrete-Time Systems
9.1 State Variable Representation of CT Systems
9.1.1 Construction of State-Variable Models from System Configurations
9.1.2 Conversion of Differential-Equation Models to State-Variable Models
9.1.3 Obtaining State-Variable Models from Block Diagrams and Transfer Functions
9.1.4 System Analysis in Time and s-Domains Using State-Variable Models
9.1.5 MATLAB Applications
9.2 State Variable Representation and Analysis of DT Systems
9.2.1 Obtaining STate-Variable Models from Block Diagrams
9.2.2 Conversion of Transfer-Function and Difference-Equation Models to State-Variable Models
9.2.3 System Analysis in Time and z-Domains Using State Variable Models
9.2.4 MATLAB Applications
Key Equations
Further Reading

A. Complex Numbers
B. Some Useful Mathematical Operations
C. Basic Matrix Operations
D. Mathematical Tables

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  • International Student Edition

    ISBN-10: 0495244627 | ISBN-13: 9780495244622

    List Price = $239.95  | College Bookstore Wholesale Price = $180.75

Meet the Author

Author Bio

Kaliappan Gopalan

Dr. Kaliappan Gopalan is Professor of Electrical Engineering at Purdue University, Calumet. He earned his Ph.D. in Engineering in 1983 The University of Akron, Akron, Ohio. Hear earned is M. Tech (EE) in 1974 at Indian Institute of Technology, Kanpur, India. B.E. (EE), 1971 P.S.G. College of Technology (Univ. of Madras), Coimbatore, India.