You might also like

Availability alert

More about Introduction to Sparse Stochastic Processes

• Book details
• Synopsis
• Trending among others

You get 136 loyalty points

Book synopsis

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.

Book details

Book category Books in English Mathematics & science Mathematics Applied mathematics

• Full title: Introduction to Sparse Stochastic Processes
• Author: Michael Unser, Pouya D. Tafti
• Language: English
• Binding: Hardback
• Number of pages: 384
• EAN: 9781107058545
• ISBN: 1107058546
• ID: 02457392
• Publisher: Cambridge University Press
• Weight: 924 g
• Dimensions: 259 × 172 × 23 mm
• Date of publishing: 21. August 2014

Trending among others

---

---

---