Description: 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.
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EAN: 9781493900633
UPC: 9781493900633
ISBN: 9781493900633
MPN: N/A
Book Title: A Mathematical Introduction to Compressive Sensing
Item Length: 23.4 cm
Number of Pages: 625 Pages
Language: English
Publication Name: A Mathematical Introduction to Compressive Sensing
Publisher: Springer-Verlag New York Inc.
Publication Year: 2015
Subject: Engineering & Technology, Computer Science, Mathematics
Item Height: 235 mm
Item Weight: 9591 g
Type: Textbook
Author: Simon Foucart, Holger Rauhut
Series: Applied and Numerical Harmonic Analysis
Item Width: 155 mm
Format: Paperback