Sampling Theory, a Renaissance

Compressive Sensing and Other Developments

Nonfiction, Science & Nature, Mathematics, Applied, Technology, Electronics
Cover of the book Sampling Theory, a Renaissance by , Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9783319197494
Publisher: Springer International Publishing Publication: December 8, 2015
Imprint: Birkhäuser Language: English
Author:
ISBN: 9783319197494
Publisher: Springer International Publishing
Publication: December 8, 2015
Imprint: Birkhäuser
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Springer International Publishing

Cover of the book Service Network Design of Bike Sharing Systems by
Cover of the book Dual-Process Theories of Numerical Cognition by
Cover of the book Multidimensional Periodic Schrödinger Operator by
Cover of the book Multi-Parametric Live Cell Microscopy of 3D Tissue Models by
Cover of the book Dictionary of Rheumatology by
Cover of the book Afrofuturism and Black Sound Studies by
Cover of the book Airway Management by
Cover of the book Device Physics, Modeling, Technology, and Analysis for Silicon MESFET by
Cover of the book PET/CT in Lung Cancer by
Cover of the book Vehicle Dynamics of Modern Passenger Cars by
Cover of the book Introduction to Averaging Dynamics over Networks by
Cover of the book Computer Assisted Assessment. Research into E-Assessment by
Cover of the book Change Management and the Human Factor by
Cover of the book Calixarenes and Beyond by
Cover of the book Solid State Physics by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy