|
Showing 1 - 6 of
6 matches in All Departments
The first of a two volume set on novel methods in harmonic
analysis, this book draws on a number of original research and
survey papers from well-known specialists detailing the latest
innovations and recently discovered links between various fields.
Along with many deep theoretical results, these volumes contain
numerous applications to problems in signal processing, medical
imaging, geodesy, statistics, and data science. The chapters within
cover an impressive range of ideas from both traditional and modern
harmonic analysis, such as: the Fourier transform, Shannon
sampling, frames, wavelets, functions on Euclidean spaces, analysis
on function spaces of Riemannian and sub-Riemannian manifolds,
Fourier analysis on manifolds and Lie groups, analysis on
combinatorial graphs, sheaves, co-sheaves, and persistent
homologies on topological spaces. Volume I is organized around the
theme of frames and other bases in abstract and function spaces,
covering topics such as: The advanced development of frames,
including Sigma-Delta quantization for fusion frames, localization
of frames, and frame conditioning, as well as applications to
distributed sensor networks, Galerkin-like representation of
operators, scaling on graphs, and dynamical sampling. A systematic
approach to shearlets with applications to wavefront sets and
function spaces. Prolate and generalized prolate functions,
spherical Gauss-Laguerre basis functions, and radial basis
functions. Kernel methods, wavelets, and frames on compact and
non-compact manifolds.
The second of a two volume set on novel methods in harmonic
analysis, this book draws on a number of original research and
survey papers from well-known specialists detailing the latest
innovations and recently discovered links between various fields.
Along with many deep theoretical results, these volumes contain
numerous applications to problems in signal processing, medical
imaging, geodesy, statistics, and data science. The chapters within
cover an impressive range of ideas from both traditional and modern
harmonic analysis, such as: the Fourier transform, Shannon
sampling, frames, wavelets, functions on Euclidean spaces, analysis
on function spaces of Riemannian and sub-Riemannian manifolds,
Fourier analysis on manifolds and Lie groups, analysis on
combinatorial graphs, sheaves, co-sheaves, and persistent
homologies on topological spaces. Volume II is organized around the
theme of recent applications of harmonic analysis to function
spaces, differential equations, and data science, covering topics
such as: The classical Fourier transform, the non-linear Fourier
transform (FBI transform), cardinal sampling series and translation
invariant linear systems. Recent results concerning harmonic
analysis on non-Euclidean spaces such as graphs and partially
ordered sets. Applications of harmonic analysis to data science and
statistics Boundary-value problems for PDE's including the
Runge-Walsh theorem for the oblique derivative problem of physical
geodesy.
The first of a two volume set on novel methods in harmonic
analysis, this book draws on a number of original research and
survey papers from well-known specialists detailing the latest
innovations and recently discovered links between various fields.
Along with many deep theoretical results, these volumes contain
numerous applications to problems in signal processing, medical
imaging, geodesy, statistics, and data science. The chapters within
cover an impressive range of ideas from both traditional and modern
harmonic analysis, such as: the Fourier transform, Shannon
sampling, frames, wavelets, functions on Euclidean spaces, analysis
on function spaces of Riemannian and sub-Riemannian manifolds,
Fourier analysis on manifolds and Lie groups, analysis on
combinatorial graphs, sheaves, co-sheaves, and persistent
homologies on topological spaces. Volume I is organized around the
theme of frames and other bases in abstract and function spaces,
covering topics such as: The advanced development of frames,
including Sigma-Delta quantization for fusion frames, localization
of frames, and frame conditioning, as well as applications to
distributed sensor networks, Galerkin-like representation of
operators, scaling on graphs, and dynamical sampling. A systematic
approach to shearlets with applications to wavefront sets and
function spaces. Prolate and generalized prolate functions,
spherical Gauss-Laguerre basis functions, and radial basis
functions. Kernel methods, wavelets, and frames on compact and
non-compact manifolds.
The goal of learning theory is to approximate a function from
sample values. To attain this goal learning theory draws on a
variety of diverse subjects, specifically statistics, approximation
theory, and algorithmics. Ideas from all these areas blended to
form a subject whose many successful applications have triggered a
rapid growth during the last two decades. This is the first book to
give a general overview of the theoretical foundations of the
subject emphasizing the approximation theory, while still giving a
balanced overview. It is based on courses taught by the authors,
and is reasonably self-contained so will appeal to a broad spectrum
of researchers in learning theory and adjacent fields. It will also
serve as an introduction for graduate students and others entering
the field, who wish to see how the problems raised in learning
theory relate to other disciplines.
Volume I: http://www.springer.com/book/9783319555492 Volume II:
http://www.springer.com/book/9783319555553 A two volume set on
novel methods in harmonic analysis, these books draw on a number of
original research and survey papers from well-known specialists
detailing the latest innovations and recently discovered links
between various fields. Along with many deep theoretical results,
these volumes contain numerous applications to problems in signal
processing, medical imaging, geodesy, statistics, and data science.
The chapters within cover an impressive range of ideas from both
traditional and modern harmonic analysis, such as: the Fourier
transform, Shannon sampling, frames, wavelets, functions on
Euclidean spaces, analysis on function spaces of Riemannian and
sub-Riemannian manifolds, Fourier analysis on manifolds and Lie
groups, analysis on combinatorial graphs, sheaves, co-sheaves, and
persistent homologies on topological spaces.
|
You may like...
Wellness
Nathan Hill
Paperback
R399
R343
Discovery Miles 3 430
Not in Love
Ali Hazelwood
Paperback
R280
R189
Discovery Miles 1 890
Finale
Stephanie Garber
Hardcover
R690
R459
Discovery Miles 4 590
Suspects
Danielle Steel
Paperback
(3)
R340
R292
Discovery Miles 2 920
Book Lovers
Emily Henry
Paperback
(4)
R245
R192
Discovery Miles 1 920
|