- Pedagogically rich introduction to signals and systems using historical notes, pointing out "common mistakes", and relating concepts to realistic examples throughout to motivate learning the material
- Introduces both continuous and discrete systems early, then studies each (separately) in more depth later
- Extensive set of worked examples and homework assignments, with applications to controls, communications, and signal processing throughout
- Provides review of all the background math necessary to study the subject
- MatLab applications in every chapter
Table of Contents
0: From the Ground Up!
0.2 Examples of Signal Processing Applications
0.3 Continuous or Discrete?
0.4 Complex or Real?
0.5 Soft Introduction to MATLAB
2: Theory and Application of Continuous-Time Signals and Systems
1: Continuous-time Signals
1.2 Classification of Time-Dependent Signals
1.3 Continuous-Time Signals
1.4 Representation of Continuous-Time Signals Using Basic Signals
1.5 Special Signals—the Sampling and the Sinc Signals
1.6 Basic Signal Operations—Time Scaling, Frequency Shifting, and Windowing
1.7 What Have We Accomplished? Where Do We Go from Here?
2: Continuous-time Systems
2.2 System Concept and Classification
2.3 Linear Time-invariant (LTI) Continuous-time Systems
2.5 Bounded-input Bounded-output (BIBO) Stability
2.6 What Have We Accomplished? Where Do We Go From Here?
3: The Laplace Transform
3.2 The Two-sided Laplace Transform
3.3 The One-sided Laplace Transform
3.4 Properties of the One-sided Laplace Transform
3.5 Inverse Laplace Transform
3.6 Analysis of LTI Systems
3.7 What Have We Accomplished? Where Do We Go from Here?
4: Frequency Analysis: The Fourier Series
4.2 Eigenfunctions Revisited
4.3 Complex Exponential Fourier Series
4.4 Response of LTI Systems to Periodic Signals
4.5 Operations using Fourier Series
4.6 What have We Accomplished? Where Do We Go from here?
5: Frequency Analysis: The Fourier Transform
5.2 From the Fourier Series to the Fourier Transform
5.3 Existence of the Fourier Transform
5.4 Fourier Transforms from the Laplace Transform
5.5 Linearity, Inverse Proportionality, and Duality
5.6 Spectral Representation
5.7 Convolution and Filtering
5.8 Additional Properties
5.9 What Have we Accomplished? What is Next?
6: Application of Laplace Analysis to Control
6.2 System Connections and Block Diagrams
6.3 Application to Classical Control
6.4 State-variable Representation of LTI Systems
6.5 What Have we Accomplished? What is Next?
7: Fourier Analysis in Communications and Filtering
7.2 Application to Communications
7.3 Analog Filtering
7.4 What have We Accomplished? What is Next?
3: Theory and Application of Discrete-Time Signals and Systems
8: Sampling Theory
8.2 Uniform Sampling
8.3 Practical Aspects of Sampling
8.4 Application to Digital Communications
8.5 What Have We Accomplished? Where Do We Go from Here?
9: Discrete-time Signals and Systems
9.2 Discrete-Time Signals
9.3 Discrete-Time Systems
9.4 What Have We Accomplished? Where Do We Go From Here?
10: The Z-transform
10.2 Laplace Transform of Sampled Signals
10.3 Two-sided Z-transform
10.4 One-sided Z-transform
10.5 One-sided Z-transform Inverse
10.6 State-Variable Representation
10.7 What have we accomplished? Where do we go from here?
11: Fourier Analysis of Discrete-time Signals and Systems
11.2 The Discrete-Time Fourier Transform (DTFT)
11.3 Fourier Series of Discrete-Time Periodic Signals
11.4 The Discrete Fourier Transform (DFT)
11.5 What have we accomplished? Where do we go from here?
12: Introduction to the Design of Discrete Filters
12.2 Frequency Selective Discrete Filters
12.3 Filter Specifications
12.4 IIR Filter Design
12.5 FIR Filter Design
12.6 Realization of Discrete Filters
12.7 What Have We Accomplished? Where Do We Go From Here?
Appendix: Useful Formulas
- No. of pages: 880
- Language: English
- Copyright: © Academic Press 2014
- Published: February 10, 2014
- Imprint: Academic Press
- eBook ISBN: 9780123948434
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