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Digital signal processing : fundamentals and applications /
This textbook presents digital signal processing (DSP) principles, applications, and hardware implementation issues, emphasizing achievable results and conclusions through the presentation of numerous worked examples, while reducing the use of mathematics for an easier grasp of the concepts. This te...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Waltham, Mass. :
Elsevier,
2013.
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| Edición: | Second edition. |
| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Front Cover; Digital Signal Processing: Fundamentals and Applications; Copyright; Contents; Preface; Chapter 1
- Introduction to Digital Signal Processing; 1.1 BASIC CONCEPTS OF DIGITAL SIGNAL PROCESSING; 1.2 BASIC DIGITAL SIGNAL PROCESSING EXAMPLES IN BLOCK DIAGRAMS; 1.3 OVERVIEW OF TYPICAL DIGITAL SIGNAL PROCESSING IN REAL-WORLD APPLICATIONS; 1.4 DIGITAL SIGNAL PROCESSING APPLICATIONS; 1.5 SUMMARY; Chapter 2
- Signal Sampling and Quantization; 2.1 SAMPLING OF CONTINUOUS SIGNAL; 2.2 SIGNAL RECONSTRUCTION; 2.3 ANALOG-TO-DIGITAL CONVERSION, DIGITAL-TO-ANALOG CONVERSION, AND QUANTIZATION.
- 2.4 SUMMARY2.5 MATLAB PROGRAMS; Chapter 3
- Digital Signals and Systems; 3.1 DIGITAL SIGNALS; 3.2 LINEAR TIME-INVARIANT, CAUSAL SYSTEMS; 3.3 DIFFERENCE EQUATIONS AND IMPULSE RESPONSES; 3.4 BOUNDED-IN AND BOUNDED-OUT STABILITY; 3.5 DIGITAL CONVOLUTION; 3.6 SUMMARY; Chapter 4
- Discrete Fourier Transform and Signal Spectrum; 4.1 DISCRETE FOURIER TRANSFORM; 4.2 AMPLITUDE SPECTRUM AND POWER SPECTRUM; 4.3 SPECTRAL ESTIMATION USING WINDOW FUNCTIONS; 4.4 APPLICATION TO SIGNAL SPECTRAL ESTIMATION; 4.5 FAST FOURIER TRANSFORM; 4.6 SUMMARY; 4.7 PROBLEMS; Chapter 5
- The z-Transform; 5.1 DEFINITION.
- 5.2 PROPERTIES OF THE Z-TRANSFORM5.3 INVERSE Z-TRANSFORM; 5.4 SOLUTION OF DIFFERENCE EQUATIONS USING THE Z-TRANSFORM; 5.5 SUMMARY; 5.6 PROBLEMS; Chapter 6
- Digital Signal Processing Systems, Basic Filtering Types, and Digital Filter Realizations; 6.1 THE DIFFERENCE EQUATION AND DIGITAL FILTERING; 6.2 DIFFERENCE EQUATION AND TRANSFER FUNCTION; 6.3 THE Z-PLANE POLE-ZERO PLOT AND STABILITY; 6.4 DIGITAL FILTER FREQUENCY RESPONSE; 6.5 BASIC TYPES OF FILTERING; 6.6 REALIZATION OF DIGITAL FILTERS; 6.7 APPLICATION: SIGNAL ENHANCEMENT AND FILTERING; 6.8 SUMMARY; 6.9 PROBLEMS.
- Chapter 7
- Finite Impulse Response Filter Design7.1 FINITE IMPULSE RESPONSE FILTER FORMAT; 7.2 FOURIER TRANSFORM DESIGN; 7.3 WINDOW METHOD; 7.4 APPLICATIONS: NOISE REDUCTION AND TWO-BAND DIGITAL CROSSOVER; 7.5 FREQUENCY SAMPLING DESIGN METHOD; 7.6 OPTIMAL DESIGN METHOD; 7.7 REALIZATION STRUCTURES OF FINITE IMPULSE RESPONSE FILTERS; 7.8 COEFFICIENT ACCURACY EFFECTS ON FINITE IMPULSE RESPONSE FILTERS; 7.9 SUMMARY OF FIR DESIGN PROCEDURES AND SELECTION OF FIR FILTER DESIGN METHODS IN PRACTICE; 7.10 SUMMARY; 7.11 MATLAB PROGRAMS; 7.12 PROBLEMS; Chapter 8
- Infinite Impulse Response Filter Design.
- 8.1 INFINITE IMPULSE RESPONSE FILTER FORMAT8.2 BILINEAR TRANSFORMATION DESIGN METHOD; 8.3 DIGITAL BUTTERWORTH AND CHEBYSHEV FILTER DESIGNS; 8.4 HIGHER-ORDER INFINITE IMPULSE RESPONSE FILTER DESIGN USING THE CASCADE METHOD; 8.5 APPLICATION: DIGITAL AUDIO EQUALIZER; 8.6 IMPULSE-INVARIANT DESIGN METHOD; 8.7 POLE-ZERO PLACEMENT METHOD FOR SIMPLE INFINITE IMPULSE RESPONSE FILTERS; 8.8 REALIZATION STRUCTURES OF INFINITE IMPULSE RESPONSE FILTERS; 8.9 APPLICATION: 60-HZ HUM ELIMINATOR AND HEART RATE DETECTION USING ELECTROCARDIOGRAPHY.