Introduction to Sparse Stochastic Processes

Name: Introduction to Sparse Stochastic Processes
Brand: Cambridge University Press
SKU: 9781107058545
Price: 56.59 EUR
Availability: InStock

Автор: Michael Unser, Pouya D. Tafti

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Корици: С твърди корици

Издател: Cambridge University Press

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Providing a novel approach to sparse stochastic processes, this comprehensive book presents the theo...

Информация за книгата

Автор

Michael Unser, Pouya D. Tafti

Език

Английски език

Корици

Книга - С твърди корици

Издадена

2014

страници

384

EAN

9781107058545

ISBN

1107058546

Enbook ID

02457392

Издател

Cambridge University Press

Теглоt

924

Размери

172 x 259 x 23

Пълно описание

Providing a novel approach to sparse stochastic processes, this comprehensive book presents the theory of stochastic processes that are ruled by stochastic differential equations, and that admit a parsimonious representation in a matched wavelet-like basis. Two key themes are the statistical property of infinite divisibility, which leads to two distinct types of behaviour - Gaussian and sparse - and the structural link between linear stochastic processes and spline functions, which is exploited to simplify the mathematical analysis. The core of the book is devoted to investigating sparse processes, including a complete description of their transform-domain statistics. The final part develops practical signal-processing algorithms that are based on these models, with special emphasis on biomedical image reconstruction. This is an ideal reference for graduate students and researchers with an interest in signal/image processing, compressed sensing, approximation theory, machine learning, or statistics.

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Introduction to Sparse Stochastic Processes

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