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Digital Signal Processing and Applications.
A practical text emphasising principles and applications.
| Call Number: | Libro Electrónico |
|---|---|
| Main Author: | |
| Other Authors: | |
| Format: | Electronic eBook |
| Language: | Inglés |
| Published: |
Burlington :
Elsevier,
2004.
|
| Edition: | 2nd ed. |
| Subjects: | |
| Online Access: | Texto completo |
Table of Contents:
- Cover; Digital Signal Processing and Applications; Contents; Preface; 1 Introduction; Background; Objectives; 1.1 The history of digital signal processing; 1.1.1 Measurements and analysis; 1.1.2 Telecommunications; 1.1.3 Audio and television; 1.1.4 Household appliances and toys; 1.1.5 Automotive; 1.2 Digital signal processing basics; 1.2.1 Continuous and discrete signals; 1.2.2 Sampling and reconstruction; 1.2.3 Quantization; 1.2.4 Processing models for discrete-time series; 1.2.4.1 Linear systems; 1.2.4.2 The difference equation model; 1.2.4.3 The state-space model
- 1.2.4.4 The convolution model1.2.4.5 The transfer function model; 1.2.4.6 The frequency function model; 1.3 Common filters; 1.3.1 Filter architectures; 1.3.1.1 The non-recursive filter; 1.3.1.2 The recursive filter; 1.3.1.3 The lattice filter; 1.3.2 Filter synthesis; 1.3.2.1 Indirect filter synthesis; 1.3.2.2 Direct filter synthesis; 1.4 Digital control systems; 1.4.1 Proportional-integral-derivate controllers; 1.4.2 Advanced controllers; 1.4.2.2 Pole placement controller; Summary; Review questions; Solved problems; 2 The analog-digital interface; Background; Objectives
- 2.1 System considerations2.1.1 Encoding and modulation; 2.1.2 Number representation and companding systems; 2.2 Digital-to-analog conversion; 2.2.1 Multiplying digital-to-analog converters; 2.2.2 Integrating digital-to-analog converters; 2.2.3 Bitstream digital-to-analog converters; 2.2.4 Sample-and-hold and reconstruction filters; 2.3 Analog-to-digital conversion; 2.3.1 Anti-aliasing filters and sample-and-hold; 2.3.2 Flash analog-to-digital converters; 2.3.3 Successive approximation analog-to-digital converters; 2.3.4 Counting analog-to-digital converters
- 2.3.5 Integrating analog-to-digital converters2.3.6 Dither; 2.3.7 Sigma-delta analog-to-digital converters; Summary; Review questions; Solved problems; 3 Adaptive digital systems; Background; Objectives; 3.1 Introduction; 3.1.1 System structure; 3.2 The processor and the performance function; 3.2.1 The adaptive linear combiner; 3.2.2 The performance function; 3.3 Adaptation algorithms; 3.3.1 The method of steepest descent; 3.3.2 Newton's method; 3.3.3 The least mean square algorithm; 3.4 Applications; 3.4.1 Adaptive interference canceling; 3.4.2 Equalizers; 3.4.3 Adaptive beamforming; Summary
- Review questionsSolved problems; 4 Non-linear applications; Background; Objectives; 4.1 The median filter; 4.1.1 Basics; 4.1.2 Threshold decomposition; 4.1.3 Performance; 4.1.4 Applications; 4.2 Artificial neural networks; 4.2.1 Background; 4.2.2 The models; 4.2.3 Some historical notes; 4.2.4 Feedforward networks; 4.2.4.1 Nodes; 4.2.4.2 Network topology; 4.2.4.3 Training and adaptation; 4.2.4.4 Applications; 4.2.5 Feedback networks; 4.2.5.1 Nodes; 4.2.5.2 Network topology; 4.2.5.3 Local and global minimum; 4.2.5.4 Applications; 4.2.6 An example application; 4.2.6.1 The problem