Understanding Digital Signal Processing with MATLAB® and Solutions.

Half Title
 Title Page
 Copyright Page
 Table of Contents
 Abbreviations
 Author
 Chapter 1 Continuous and Discrete Signals
 1.1 Continuous Deterministic Signals
 Periodic Signals
 Non-Periodic Continuous Signals
 Unit Step Functions
 Ramp Function
 Rectangular Function
 Triangular Pulse Function
 Signum Function
 Sinc Function
 Gaussian Function
 Error Function
 Exponential and Double Exponential Functions
 Type of Signalsâ#x80
#x94
Even, Odd, Energy and Power
 1.2 Sampling of Continuous Signals-Discrete Signals
 Table 1.1: Some Useful Functions in Analog and Discrete Forms. Approximation of the Derivative and IntegralImpulse (delta) Function
 Table 1.2: Basic Delta Function Properties
 The Comb Function
 1.3 Signal Conditioning and Manipulation
 Modulation
 Shifting and Flipping
 Time Scaling
 Windowing of Signals
 Table 1.3: Windows for Continuous Signal Processing
 1.4 Convolution of Analog and Discrete Signals
 Analog Signals
 Discrete Signals
 Table 1.4: Basic Convolution Properties
 1.5 MATLAB Use for Vectors and Arrays (Matrices)
 Examples of Array Operations
 Hintsâ#x80
#x93
Suggestionsâ#x80
#x93
Solutions of the Exercises. Chapter 2 Fourier Analysis of Continuous and Discrete Signals2.1 Introduction
 2.2 Fourier Transform (FT) of Deterministic Signals
 2.3 Sampling of Signals
 2.4 Discrete-Time Fourier Transform (DTFT)
 2.5 DTFT of Finite-Time Sequences
 Windowing
 2.6 The Discrete Fourier Transform (DFT)
 The Inverse DFT (IDFT)
 2.7 Properties of DFT
 Linearity
 Symmetry
 Time Shifting
 Frequency Shifting
 Time Convolution
 Frequency Convolution
 Parsevalâ#x80
#x99
s Theorem
 2.8 Effect of Sampling Time T
 2.9 Effect of Truncation
 Windowing
 2.10 Resolution
 2.11 Discrete Systems. 2.12 Digital Simulation of Analog Systems2.12.1 Second-Order Differential Equations
 Hintsâ#x80
#x93
Suggestionsâ#x80
#x93
Solutions of the Exercises
 Appendix 2.1: Fourier Transform Properties
 Appendix 2.2: Fourier Transform Pairs
 Appendix 2.3: DTFT Properties
 Appendix 2.4: DFT Properties
 Chapter 3 The z-Transform, Difference Equations, and Discrete Systems
 3.1 The z-Transform
 3.2 Properties of the z-Transform
 Table 3.1: Summary of z-Transform Properties
 3.3 Inverse z-Transform
 Table 3.2: Common z-Transform Pairs
 3.4 Transfer Function
 Higher-Order Transfer Functions. 3.5 Frequency Response of Discrete Systems3.6 z-Transform Solution of Difference Equations
 Hintsâ#x80
#x93
Suggestionsâ#x80
#x93
Solutions of the Exercises
 Chapter 4 Finite Impulse Response (FIR) Digital Filter Design
 4.1 Introduction
 4.2 Finite Impulse Response (FIR) Filters
 Discrete Fourier-Series Method
 Commonly Used Windows
 Discrete Fourier Transform Method
 High-Pass Filter
 Table 4.1: Frequency Transformations
 Hintsâ#x80
#x93
Suggestionsâ#x80
#x93
Solutions of the Exercises
 Appendix 4.1: Window Characteristics and Performance
 Chapter 5 Random Variables, Sequences, and Probability Functions.