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Can I read A Mathematical Introduction to Compressive Sensing (Applied and Numerical Harmonic Analysis) on EtoBox?
A Mathematical Introduction to Compressive Sensing (Applied and Numerical Harmonic Analysis) by Simon Foucart, Holger Rauhut (auth.) is a nonfiction available to read on EtoBox.
What is A Mathematical Introduction to Compressive Sensing (Applied and Numerical Harmonic Analysis) about?
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 sensi
Who reads A Mathematical Introduction to Compressive Sensing (Applied and Numerical Harmonic Analysis)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Simon Foucart, Holger Rauhut (auth.)
- Publisher
- Springer New York : Imprint : Birkhäuser
- Published
- 2013
- Language
- EN
- ISBN
- 9780817649470
- Category
- nonfiction
- Subjects
- Science, Computer Science, Mathematics
Other editions & translations
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