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Author Charbit, Maurice
Title Digital Signal Processing (DSP) with Python Programming
Imprint Somerset : John Wiley & Sons, Incorporated, 2017
©2017
book jacket
Descript 1 online resource (260 pages)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Note Intro -- 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 HMM -- 3.3. 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
Description based on publisher supplied metadata and other sources
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2020. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries
Link Print version: Charbit, Maurice Digital Signal Processing (DSP) with Python Programming Somerset : John Wiley & Sons, Incorporated,c2017 9781786301260
Subject Signal processing--Digital techniques
Electronic books
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