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 Microsystems for Pharmatechnology by
Cover of the book Approximation and Optimization by
Cover of the book Inclusive Governance in South Asia by
Cover of the book microRNA: Cancer by
Cover of the book Governance, Social Control and Legal Reform in China by
Cover of the book New Developments in Tissue Engineering and Regeneration by
Cover of the book The Innovators Behind Leonardo by
Cover of the book Externally Heated Valve Engine by
Cover of the book Close Relationships and Happiness across Cultures by
Cover of the book Cloud Computing and Security by
Cover of the book Combinatorial Algebraic Geometry by
Cover of the book Navigating the Education Research Maze by
Cover of the book Schooling for Peaceful Development in Post-Conflict Societies by
Cover of the book Managing Geo-Based Challenges by
Cover of the book Technologies and Innovation 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