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