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An Introduction to Sparse Stochastic Processes

Af: Michael Unser, Pouya D. Tafti Engelsk Hardback

An Introduction to Sparse Stochastic Processes

Af: Michael Unser, Pouya D. Tafti Engelsk Hardback
Tjek vores konkurrenters priser
Providing a novel approach to sparsity, this comprehensive book presents the theory of stochastic processes that are ruled by linear 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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Providing a novel approach to sparsity, this comprehensive book presents the theory of stochastic processes that are ruled by linear 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.
Produktdetaljer
Sprog: Engelsk
Sider: 384
ISBN-13: 9781107058545
Indbinding: Hardback
Udgave:
ISBN-10: 1107058546
Udg. Dato: 21 aug 2014
Længde: 23mm
Bredde: 172mm
Højde: 259mm
Forlag: Cambridge University Press
Oplagsdato: 21 aug 2014
Forfatter(e): Michael Unser, Pouya D. Tafti
Forfatter(e) Michael Unser, Pouya D. Tafti


Kategori Biomedicinsk teknik


ISBN-13 9781107058545


Sprog Engelsk


Indbinding Hardback


Sider 384


Udgave


Længde 23mm


Bredde 172mm


Højde 259mm


Udg. Dato 21 aug 2014


Oplagsdato 21 aug 2014


Forlag Cambridge University Press

Kategori sammenhænge