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DSP with Python Programming.
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Somerset :
John Wiley & Sons, Incorporated,
2017.
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| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Table of Contents; Title; Copyright; Preface; Notations and Abbreviations; A Few Functions of Python®; 1 Useful Maths; 1.1. Basic concepts on probability; 1.2. Conditional expectation; 1.3. Projection theorem; 1.4. Gaussianity; 1.5. Random variable transformation; 1.6. Fundamental theorems of statistics; 1.7. A few probability distributions; 2 Statistical Inferences; 2.1. First step: visualizing data; 2.2. Reduction of dataset dimensionality; 2.3. Some vocabulary; 2.4. Statistical model; 2.5. Hypothesis testing; 2.6. Statistical estimation; 3 Inferences on HMM; 3.1. Hidden Markov models (HMM).
- 3.2. Inferences on HMM3.3. Filtering: general case; 3.4. Gaussian linear case: Kalman algorithm; 3.5. Discrete finite Markov case; 4 Monte-Carlo Methods; 4.1. Fundamental theorems; 4.2. Stating the problem; 4.3. Generating random variables; 4.4. Variance reduction; 5 Hints and Solutions; 5.1. Useful maths; 5.2. Statistical inferences; 5.3. Inferences on HMM; 5.4. Monte-Carlo methods; Bibliography; Index; End User License Agreement.