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Название: Digital Signal Processing with Python Programming
Год: 2017
Издатель: Wiley-ISTE
Кол-во страниц: 268
Язык: english
Формат: PDF
Описание:
This book addresses the basic principles of statistical inference. The first chapter recalls the basis of probabilities. The second chapter is devoted to point estimation, the hypothesis test, including p-values, the confidence region determination, mentioning only the most important concepts. The main practical approaches, such as the least squares minimization, the moment method and the likelihood maximization, are broadly detailed. The following chapter is devoted to hidden Markov models (HMM) which are the basis of the more recent algorithms in signal and image processing.
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Название: Digital Signal Processing with Python Programming
Год: 2017
Издатель: Wiley-ISTE
Кол-во страниц: 268
Язык: english
Формат: PDF
Описание:
This book addresses the basic principles of statistical inference. The first chapter recalls the basis of probabilities. The second chapter is devoted to point estimation, the hypothesis test, including p-values, the confidence region determination, mentioning only the most important concepts. The main practical approaches, such as the least squares minimization, the moment method and the likelihood maximization, are broadly detailed. The following chapter is devoted to hidden Markov models (HMM) which are the basis of the more recent algorithms in signal and image processing.
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