Signals and Systems

For undergraduate-level courses in Signals and Systems. This comprehensive exploration of signals and systems develops continuous-time and discrete-time concepts/methods in parallel -- highlighting the similarities and differences -- and features introductory treatments of the applications of these basic methods in such areas as filtering, communication, sampling, discrete-tim...

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For undergraduate-level courses in Signals and Systems. This comprehensive exploration of signals and systems develops continuous-time and discrete-time concepts/methods in parallel -- highlighting the similarities and differences -- and features introductory treatments of the applications of these basic methods in such areas as filtering, communication, sampling, discrete-time processing of continuous-time signals, and feedback. Relatively self-contained, the text assumes no prior experience with system analysis, convolution, Fourier analysis, or Laplace and z-transforms.

Preface
Acknowledgements
Forward
1 SIGNALS AND SYSTEMS
1.0 Introduction
1.1 Continuous-Time and Discrete-Time Signals
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Preface
Acknowledgements
Forward
1 SIGNALS AND SYSTEMS
1.0 Introduction
1.1 Continuous-Time and Discrete-Time Signals
1.2 Transformations of the Independent Variable
1.3 Exponential and Sinusoidal Signals
1.4 The Unit Impulse and Unit Step Functions
1.5 Continuous-Time and Discrete-Time Systems
1.6 Basic System Properties
1.7 Summary
2 LINEAR TIME-INVARIANT SYSTEMS
2.0 Introduction
2.1 Discrete-Time LTI Systems: The Convolution Sum
2.2 Continuous-Time LTI Systems: The Convolution Integral
2.3 Properties of Linear Time-invariant Systems
2.4 Causal LTI Systems Described by Differential and Difference Equations
2.5 Singularity Functions
2.6 Summary
3 FOURIER SERIES REPRESENTATION OF PERIODIC SIGNALS
3.0 Introduction
3.1 A Historical Perspective
3.2 The Response of LTI Systems to Complex Exponentials
3.3 Fourier Series Representation of Continuous-Time Periodic Signals
3.4 Convergence of the Fourier Series
3.5 Properties of Continuous-Time Fourier Series
3.6 Fourier Series Representation of Discrete-Time Periodic Signals
3.7 Properties of Discrete-Time Fourier Series
3.8 Fourier Series and LTI Systems
3.9 Filtering
3.10 Examples of Continuous-Time Filters Described by Differential Equations
3.11 Examples of Discrete-Time Filters Described by Difference Equations
3.12 Summary
4 THE CONTINUOUS-TIME FOURIER TRANSFORM 2,
4.0 Introduction
4.1 Representation of Aperiodic Signals: The Continuous-Time Fourier Transform
4.2 The Fourier Transform for Periodic Signals
4.3 Properties of the Continuous-Time Fourier Transform
4.4 The Convolution Property
4.5 The Multiplication Property
4.6 Tables of Fourier Properties and of Basic Fourier Transform Pairs
4.7 Systems Characterized by Linear Constant-Coefficient Differential Equations
4.8 Summary
5 THE DISCRETE-TIME FOURIER TRANSFORM
5.0 Introduction
5.1 Representation of Aperiodic Signals: The Discrete-Time Fourier Transform
5.2 The Fourier Transform for Periodic Signals
5.3 Properties of the Discrete-Time Fourier Transform
5.4 The Convolution Property
5.5 The Multiplication Property
5.6 Tables of Fourier Transform Properties and Basic Fourier Transform Pairs
5.7 Duality
5.8 Systems Characterized by Linear Constant-Coefficient Difference Equations
5.9 Summary
6 TIME AND FREQUENCY CHARACTERIZATION OF SIGNALS AND SYSTEMS
6.0 Introduction
6.1 The Magnitude-Phase Representation of the Fourier Transform
6.2 The Magnitude-Phase Representation of the Frequency Response of LTI Systems
6.3 Time-Domain Properties of Ideal Frequency-Selective Filters
6.4 Time-Domain and Frequency-Domain Aspects of Nonideal Filters
6.5 First-Order and Second-Order Continuous-Time Systems
6.6 First-Order and Second-Order Discrete-Time Systems
6.7 Examples of Time- and Frequency-Domain Analysis of Systems
6.8 Summary
7 SAMPLING
7.0 Introduction
7.1 Representation of a Continuous-Time Signal by Its Samples: The Sampling Theorem
7.2 Reconstruction of a Signal from Its Samples Using Interpolation
7.3 The Effect of Undersampling: Aliasing
7.4 Discrete-Time Processing of Continuous-Time Signals
7.5 Sampling of Discrete-Time Signals
7.6 Summary
8 COMMUNICATION SYSTEMS
8.0 Introduction
8.1 Complex Exponential and Sinusoidal Amplitude Modulation
8.2 Demodulation for Sinusoidal AM
8.3 Frequency-Division Multiplexing
8.4 Single-Sideband Sinusoidal Amplitude Modulation
8.5 Amplitude Modulation with a Pulse-Train Carrier
8.6 Pulse-Amplitude Modulation
8.7 Sinusoidal Frequency Modulation
8.8 Discrete-Time Modulation
8.9 Summary
9 THE LAPLACE TRANSFORM
9.0 Introduction
9.1 The Laplace Transform
9.2 The Region of Convergence for Laplace Transforms
9.3 The Inverse Laplace Transform
9.4 Geometric Evaluation of the Fourier Transform from the Pole-Zero Plot
9.5 Properties of the Laplace Transform
9.6 Some Laplace Transform Pairs
9.7 Analysis and Characterization of LTI Systems Using the Laplace Transform
9.8 System Function Algebra and Block Diagram Representations
9.9 The Unilateral Laplace Transform
9.10 Summary
10 THE Z-TRANSFORM
10.0 Introduction
10.1 The z-Transform
10.2 The Region of Convergence for the z-Transform
10.3 The Inverse z-Transform
10.4 Geometric Evaluation of the Fourier Transform from the Pole-Zero Plot
10.5 Properties of the z-Transform
10.6 Some Common z-Transform Pairs
10.7 Analysis and Characterization of LTI Systems Using z-Transforms
10.8 System Function Algebra and Block Diagram Representations
10.9 The Unilateral z-Transform
10.10 Summary
11 LINEAR FEEDBACK SYSTEMS
11.0 Introduction
11.1 Linear Feedback Systems
11.2 Some Applications and Consequences of Feedback
11.3 Root-Locus Analysis of Linear Feedback Systems
11.4 The Nyquist Stability Criterion
11.5 Gain and Phase Margins
11.6 Summary
APPENDIX PARTIAL-FRACTION EXPANSION
BIBLIOGRAPHY
ANSWERS
INDEX
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