Sampling Theory, a Renaissance

Compressive Sensing and Other Developments de

Éditeur :

Birkhäuser


Collection :

Applied and Numerical Harmonic Analysis

Paru le : 2015-12-08

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Description

Reconstructing or approximating objects from seemingly incomplete information is a frequent challenge in mathematics, science, and engineering. A multitude of tools designed to recover hidden information are based on Shannon’s classical sampling theorem, a central pillar of Sampling Theory. The growing need to efficiently obtain precise and tailored digital representations of complex objects and phenomena requires the maturation of available tools in Sampling Theory as well as the development of complementary, novel mathematical theories. Today, research themes such as Compressed Sensing and Frame Theory re-energize the broad area of Sampling Theory. This volume illustrates the renaissance that the area of Sampling Theory is currently experiencing. It touches upon trendsetting areas such as Compressed Sensing, Finite Frames, Parametric Partial Differential Equations, Quantization, Finite Rate of Innovation, System Theory, as well as sampling in Geometry and Algebraic Topology.
Pages
532 pages
Collection
Applied and Numerical Harmonic Analysis
Parution
2015-12-08
Marque
Birkhäuser
EAN papier
9783319197487
EAN PDF
9783319197494

Informations sur l'ebook
Nombre pages copiables
5
Nombre pages imprimables
53
Taille du fichier
10353 Ko
Prix
94,94 €
EAN EPUB
9783319197494

Informations sur l'ebook
Nombre pages copiables
5
Nombre pages imprimables
53
Taille du fichier
7055 Ko
Prix
94,94 €