Sampling Theory, a Renaissance: Compressive Sensing and Other Developments

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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 ...

Sampling Theory, a Renaissance: Compressive Sensing and Other Developments 2015, Birkhauser, Cham

ISBN-13: 9783319197487

2015 edition

Hardcover

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