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A Mathematical Introduction to Compressive Sensing (Paperback, Softcover reprint of the original 1st ed. 2013) Loot Price: R3,747
Discovery Miles 37 470
A Mathematical Introduction to Compressive Sensing (Paperback, Softcover reprint of the original 1st ed. 2013): Simon Foucart,...

A Mathematical Introduction to Compressive Sensing (Paperback, Softcover reprint of the original 1st ed. 2013)

Simon Foucart, Holger Rauhut

Series: Applied and Numerical Harmonic Analysis

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Loot Price R3,747 Discovery Miles 37 470 | Repayment Terms: R351 pm x 12*

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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 build. With only moderate prerequisites, it is an excellent textbook for graduate courses in mathematics, engineering, and computer science. It also serves as a reliable resource for practitioners and researchers in these disciplines who want to acquire a careful understanding of the subject. A Mathematical Introduction to Compressive Sensing uses a mathematical perspective to present the core of the theory underlying compressive sensing.

General

Imprint: Springer-Verlag New York
Country of origin: United States
Series: Applied and Numerical Harmonic Analysis
Release date: August 2015
First published: 2013
Authors: Simon Foucart • Holger Rauhut
Dimensions: 235 x 155 x 33mm (L x W x T)
Format: Paperback
Pages: 625
Edition: Softcover reprint of the original 1st ed. 2013
ISBN-13: 978-1-4939-0063-3
Categories: Books > Computing & IT > General theory of computing > Mathematical theory of computation
Books > Science & Mathematics > Mathematics > Calculus & mathematical analysis > Functional analysis
Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers
Books > Professional & Technical > Electronics & communications engineering > Communications engineering / telecommunications > General
Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics > General
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LSN: 1-4939-0063-3
Barcode: 9781493900633

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