A mathematical introduction to compressive sensing /

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Bibliographic Details
Author / Creator:	Foucart, Simon, author.
Imprint:	New York, NY : Birkhäuser, 2013.
Description:	1 online resource (xviii, 625 pages) : illustrations.
Language:	English
Series:	Applied and numerical harmonic analysis, 2296-5009 Applied and numerical harmonic analysis,
Subject:	Signal processing -- Digital techniques -- Mathematics. Compressed sensing (Telecommunication) Signal processing -- Digital techniques -- Mathematics.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/9852367

Hidden Bibliographic Details
Other authors / contributors:	Rauhut, Holger, author.
ISBN:	9780817649487 (electronic bk.) 0817649484 (electronic bk.) 9780817649470
Notes:	Includes bibliographical references and index. Description based on online resource; title from PDF title page (SpringerLink, viewed August 20, 2013).
Summary:	At the intersection of mathematics, engineering, and computer science sits the thriving field of compressive sensing. Based on the premise that data acquisition and compression can be performed simultaneously, compressive sensing finds applications in imaging, signal processing, and many other domains. In the areas of applied mathematics, electrical engineering, and theoretical computer science, an explosion of research activity has already followed the theoretical results that highlighted the efficiency of the basic principles. The elegant ideas behind these principles are also of independent interest to pure mathematicians. A Mathematical Introduction to Compressive Sensing gives a detailed account of the core theory upon which the field is built.
Standard no.:	10.1007/978-0-8176-4948-7

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