Overview of the basics of Compressive Sensing

Tutor: Carsten Bockelmann, Fabian Monsees
Type of Thesis: Projektarbeit (Dipl.)
date of end: 10/2012
Student: Yunjin Yang
Status: finished

Compressive Sensing (CS) is a new method of detection that has emerged in recent years. It allows the detection of sparse signals from under-determined systems. While the detection was originally defined for convex optimization, various variants of the greedy Matching Pursuit (MP) algorithm have been created to solve the problem more efficiently.

The goal of this thesis is a literature research and summary of the basics of Compressive Sensing. Focus should be on the quality of the reconstruction, criterions and numerical analysis in this direction.

Last change on 24.05.2013 by Admin
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