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Introduction to Compressive Sensing (Compressed Sensing)

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I have mentioned to the major concepts of compressed sensing and its applications in this document that can help who want to get familiar with CS .

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Introduction to Compressive Sensing (Compressed Sensing)

  1. 1. Introduction Background Methodology Applications
  2. 2. Shannon Nyquist Sparse Representation Measurement principle Sparsity Incoherence Sensor Network Single Pixel Camera
  3. 3. Pre-processing Image Feature extraction Image Segmentation and Recognition/Classification Compressive Sensing for Computer Vision and Image Processing, Naveen Kulkarni, ARIZONA STATE UNIVERSITY May 2011, Page 1-3 Image Acquisition
  4. 4. at least twice its highest frequency
  5. 5. • • •
  6. 6. • •
  7. 7. • •
  8. 8. Theory and Applications of Compressed Sensing, Gitta Kutyniok, GAMM- Mitteilungen, 10 July 2013 Technische Universit¨at Berlin,Institut f¨ur Mathematik, Straße des 17. Juni 136 , 10623 Berlin, Germany
  9. 9. Compressive Sensing for Computer Vision and Image Processing, Naveen Kulkarni, Approved May 2011, ARIZONA STATE UNIVERSITY
  10. 10. .
  11. 11.
  12. 12. Baraniuk, Richard, Justin Romberg, and Michael Wakin. "Tutorial on compressive sensing." Seminar Talk, University of Michigan. 2008.

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