Fundamentals of Signals and Systems Using the Web and MATLAB, Pearson New International Edition, 3rd edition

Published by Pearson (August 29, 2013) © 2014

  • Edward W. Kamen Georgia Institute of Technology (emeritus)
  • Bonnie S Heck Georgia Institute of Technology
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For a one-quarter or one-semster course on Signals and Systems.

This edition delivers an accessible yet comprehensive analytical introduction to continuous-time and discrete-time signals and systems. It also incorporates a strong emphasis on solving problems and exploring concepts, using demos, downloaded data, and MATLAB® to demonstrate solutions for a wide range of problems in engineering and other fields such as financial data analysis. Its flexible structure adapts easily for courses taught by semester or by quarter.

Preface

1 FUNDAMENTAL CONCEPTS   

1.1  Continuous-Time Signals

1.2  Discrete-Time Signals

1.3  Systems

1.4  Examples of Systems  

1.5  Basic System Properties  

   1.6 Chapter Summary

Problems  

2 TIME-DOMAIN MODELS OF SYSTEMS  

2.1  Input/Output Representation of Discrete-Time Systems

2.2  Convolution of Discrete-Time Signals

2.3  Difference Equation Models

2.4  Differential Equation Models

2.5  Solution of Differential Equations

2.6    Convolution Representation of Continuous-Time Systems

   2.7 Chapter Summary

   Problems

3 THE FOURIER SERIES AND FOURIER TRANSFORM   

3.1  Representation of Signals in Terms of Frequency Components  

3.2  Trigonometric Fourier Series

3.3  Complex Exponential Series

3.4 Fourier Transform

3.5 Spectral Content of Common Signals

3.6  Properties of the Fourier Transform  

3.7  Generalized Fourier Transform  

3.8 Application to Signal Modulation and Demodulation

    3.9     Chapter Summary

Problems  

4 FOURIER ANALYSIS OF DISCRETE-TIME SIGNALS

4.1    Discrete-Time Fourier Transform

4.2    Discrete Fourier Transform

4.3    DFT of Truncated Signals

4.4    FFT Algorithm

4.5    Application to Data Analysis

    4.6   Chapter Summary

 Problems

5 FOURIER ANALYSIS OF SYSTEMS

5.1  Fourier Analysis of Continuous-Time Systems

5.2  Response to Periodic and Nonperiodic Inputs  

5.3  Analysis of Ideal Filters  

5.4  Sampling  

5.5 Fourier Analysis of Discrete-Time Systems

5.6 Application to Lowpass Digital Filtering

    5.7     Chapter Summary

Problems  

6 THE LAPLACE TRANSFORM AND THE TRANSFER FUNCTION REPRESENTATION   

6.1  Laplace Transform of a Signal  

6.2  Properties of the Laplace Transform  

6.3  Computation of the Inverse Laplace Transform  

6.4  Transform of the Input/Output Differential Equation  

6.5  Transform of the Input/Output Convolution Integral

6.6  Direct Construction of the Transfer Function

   6.7 Chapter Summary

Problems  

7 THE z-TRANSFORM AND DISCRETE-TIME SYSTEMS

7.1 z-Transform of a Discrete-Time Signal  

7.2 Properties of the z-Transform  

7.3 Computation of the Inverse z-Transform  

7.4 Transfer Function Representation  

7.5 System Analysis Using the Transfer Function Representation

    7.6    Chapter Summary

Problems

8 ANALYSIS OF CONTINUOUS-TIME SYSTEMS USING THE TRANSFER FUNCTION REPRESENTATION  

8.1  Stability and the Impulse Response  

8.2  Routh—Hurwitz Stability Test  

8.3  Analysis of the Step Response  

8.4  Response to Sinusoids and Arbitrary Inputs  

8.5  Frequency Response Function  

8.6  Causal Filters  

    8.7    Chapter Summary

Problems  

9 APPLICATION TO CONTROL   

9.1 Introduction to Control  

9.2 Tracking Control  

9.3 Root Locus&nb

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