A Mathematical Introduction to Compressive Sensing

A Mathematical Introduction to Compressive Sensing

4.11 - 1251 ratings - Source

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.I. Daubechies, R. DeVore, M. Fornasier, C. G Iˆunt Iˆurk, Iteratively re-weighted least squares minimization for sparse recovery. Comm. ... Probability and its Applications (New York) (Springer, New York, 1999) (Cited on p. 262.) ... D.L. Donoho, Neighborly polytopes and sparse solutions of underdetermined linear equations.

Title:A Mathematical Introduction to Compressive Sensing
Author: Simon Foucart, Holger Rauhut
Publisher:Springer Science & Business Media - 2013-08-13

You must register with us as either a Registered User before you can Download this Book. You'll be greeted by a simple sign-up page.

Once you have finished the sign-up process, you will be redirected to your download Book page.

How it works:
  • 1. Register a free 1 month Trial Account.
  • 2. Download as many books as you like (Personal use)
  • 3. Cancel the membership at any time if not satisfied.

Click button below to register and download Ebook
Privacy Policy | Contact | DMCA