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An Introduction to Sparse Stochastic Processes (Hardcover)
Loot Price: R1,342
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An Introduction to Sparse Stochastic Processes (Hardcover)
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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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