Practical digital signal processing for engineers and technicians
The aim of this book is to introduce the general area of Digital Signal Processing from a practical point of view with a working minimum of mathematics. The emphasis is placed on the practical applications of DSP: implementation issues, tricks and pitfalls. Intuitive explanations and appropriate exa...
| Autor principal: | |
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Amsterdam ; London :
Newnes
2004.
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| Edición: | 1st edition |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009627069406719 |
Tabla de Contenidos:
- Front cover; Copyright; Contents; Preface; 1. Introduction; 1.1 Benefits of processing signals digitally; 1.2 Definition of some terms; 1.3 DSP systems; 1.4 Some application areas; 1.5 Objectives and overview of the book; 2. Converting analog to digital signals and vice versa; 2.1 A typical DSP system; 2.2 Sampling; 2.3 Quantization; 2.4 Analog-to-digital converters; 2.5 Analog reconstruction; 2.6 Digital-to-analog converters; 2.7 To probe further; 3. Time-domain representation of discrete- time signals and systems; 3.1 Notation; 3.2 Typical discrete- time signals
- 3.3 Operations on discrete-time signals3.4 Classification of systems; 3.5 The concept of convolution; 3.6 Autocorrelation and cross- correlation of sequences; 4. Frequency-domain representation of discrete- time signals; 4.1 Discrete Fourier series for discrete-time periodic signals; 4.2 Discrete Fourier transform for discrete-time aperiodic signals; 4.3 The inverse discrete Fourier transform and its computation; 4.4 Properties of the DFT; 4.5 The fast Fourier transform; 4.6 Practical implementation issues; 4.7 Computation of convolution using DFT
- 4.8 Frequency ranges of some natural and man-made signals5. DSP application examples; 5.1 Periodic signal generation using wave tables; 5.2 Wireless transmitter implementation; 5.3 Speech synthesis; 5.4 Image enhancement; 5.5 Active noise control; 5.6 To probe further; 6. Finite impulse response filter design; 6.1 Classification of digital filters; 6.2 Filter design process; 6.3 Characteristics of FIR filters; 6.4 Window method; 6.5 Frequency sampling method; 6.6 Parks-McClelland method; 6.7 Linear programming method; 6.8 Design examples; 6.9 To probe further
- 7. Infinite impulse response (IIR) filter design7.1 Characteristics of IIR filters; 7.2 Review of classical analog filter; 7.3 IIR filters from analog filters; 7.4 Direct design methods; 7.5 FIR vs IIR; 7.6 To probe further; 8. Digital filter realizations; 8.1 Direct form; 8.2 Cascade form; 8.3 Parallel form; 8.4 Other structures; 8.5 Software implementation; 8.6 Representation of numbers; 8.7 Finite word-length effects; 9. Digital signal processors; 9.1 Common features; 9.2 Hardware architecture; 9.3 Special instructions and addressing modes; 9.4 General purpose microprocessors for DSP
- 9.5 Choosing a processor9.6 To probe further; 10. Hardware and software development tools; 10.1 DSP system design flow; 10.2 Development tools; Appendix A: Binary encoding of quantization levels; Appendix B: Practical sessions; Index
