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 Tools and Methods of Program Analysis by
Cover of the book Machine Learning and Data Mining in Pattern Recognition by
Cover of the book Finite Frequency Analysis and Synthesis for Singularly Perturbed Systems by
Cover of the book Causality and Development by
Cover of the book Autofiction in English by
Cover of the book Robotic Fabrication in Architecture, Art and Design 2014 by
Cover of the book Descriptions, Translations and the Caribbean by
Cover of the book Aging in a Second Language by
Cover of the book Wireless Internet by
Cover of the book Computational Transport Phenomena of Fluid-Particle Systems by
Cover of the book Haptic Devices for Studies on Human Grasp and Rehabilitation by
Cover of the book The Whole Truth About Whole Numbers by
Cover of the book Urinary Dysfunction in Prostate Cancer by
Cover of the book Probability for Physicists by
Cover of the book Principles and Practice of Constraint Programming 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