A mathematical introduction to compressive sensing
Foucart, Simon Rauhut, Holger
A mathematical introduction to compressive sensing - 1st ed. - New York: Birkhauser, 2013. - xviii, 625p.; 21cms. - Applied and Numerical Harmonic Analysis .
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.
9781493900633
Signal processing--Digital techniques--Mathematics
Computer science
Telecommunication
Compressed sensing (Telecommunication)
Functional analysis
621.3822 F66, 1
A mathematical introduction to compressive sensing - 1st ed. - New York: Birkhauser, 2013. - xviii, 625p.; 21cms. - Applied and Numerical Harmonic Analysis .
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.
9781493900633
Signal processing--Digital techniques--Mathematics
Computer science
Telecommunication
Compressed sensing (Telecommunication)
Functional analysis
621.3822 F66, 1