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Chapter 1 Crash Course in Digital Signal Processing
1.1 Signals and Systems
1.2 Analog-to-Digital and Digital-to-Analog Conversions
1.3 Digital Signals and Their Spectra
1.4 Digital Filtering
1.5 Speech, Music, Images, and More
Chapter Summary
Review Questions
Chapter 2 Analog-to-Digital and Digital-to-Analog Conversion
2.1 A Simple DSP System
2.2 Sampling
2.2.1 Nyquist Sampling Theory
2.2.2 The Frequency View of Sampling
2.3 Quantization
2.4 Analog-to-Digital Conversion
2.5 Digital-to-Analog Conversion
Chapter Summary
Review Questions
Chapter 3 Digital Signals
3.1 Pictures of Digital Signals
3.2 Notation for Digital Signals
3.3 Digital Functions
3.3.1 Impulse Functions
3.3.2 Step Functions
3.3.3 Power and Exponential Functions
3.3.4 Sine and Cosine Functions
3.4 Composite Functions
3.5 Two-Dimensional Digital Signals
Chapter Summary
Review Questions
Chapter 4 Difference Equations and Filtering.
4.1 Filtering Basics
4.2 Analog Filters versus Digital Filters
4.3 Linear, Time-invariant, Causal Systems
4.4 Difference Equation Structure :
4.5 Superposition
4.6 Difference Equation Diagrams
4.6.1 Nonrecursive Difference Equations
4.6.2 Recursive Difference Equations
4.7 The Impulse Response
4.8 The Step Response
Chapter Summary
Review Questions
Chapter 5 Convolution and Filtering
5.1 Convolution Basics :
5.2 Difference Equations and Convolution
5.3 Moving Average Filters
5.4 Filtering Digital Images
Chapter Summary
Review Questions
Chapter 6 z Transforms
6.1 z Transform Basics
6.2 Transfer Functions
6.2.1 Transfer Functions and Difference Equations
6.2.2 Transfer Functions and Impulse Responses
6.2.3 Finding Filter Outputs
6.2.4 Cascade and Parallel Combinations of Transfer Functions
6.3 Back to the Time Domain
6.3.1 Standard Form
6.3.2 Simple Inverse z Transforms
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Chapter 7 Fourier Transforms and Filter Shape
Chapter 8 Digital Signal Spectira
Chapter 9 Finite Impulse Response Filters
Chapter 10 Infinite Impulse Response Filters
Chapter 11 Dft and FFt Processing
Chapter 12 Signal Processing
References