Introduction to Sparse Stochastic Processes

Name: Introduction to Sparse Stochastic Processes
Brand: Cambridge University Press
SKU: 9781107058545
Price: 54.38 EUR
Availability: InStock

Autor: Michael Unser, Pouya D. Tafti

Jazyk:

Väzba: Pevná

Vydavateľ: Cambridge University Press

Dostupnosť: 50 % šanca

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54.38 €

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

Informácie o knihe

Autor

Michael Unser, Pouya D. Tafti

Jazyk

Angličtina

Väzba

Kniha - Pevná

Vydalo

2014

Stránok

384

EAN

9781107058545

ISBN

1107058546

Enbook ID

02457392

Vydavateľ

Cambridge University Press

Hmotnosť

924

Rozmery

172 x 259 x 23

Kompletný popis

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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