Efficient Projection for Compressed Sensing

Compressed sensing (CS), a joint compression and sensing process, is a emerging field of activity in which the signal is sampled and simultaneously compressed at a greatly reduced rate. In CS, the projection matrix is chosen at random which would lead to inefficient performance of CS. Recently, an optimized projection (OP) was chosen such that it leads to better coherence of the effective dictionary, leading substantially better CS reconstruction performance. This is the only recent work related to the optimization of projection matrix, but the major drawback of this approach is that its algorithm is an iterative and high complexity one. It is considered that an efficient and lightweight algorithm for designing projection matrix would usefully supplement and enhance the performance of CS. In this paper, we propose an algorithm to obtain such an projection matrix called efficient projection (EP) which is designed in such a way that the new projected dictionary will have the structure a...

• Type: Conference
• Year: 2008
• Where: ACISICIS
• Authors: Vo Dinh Minh Nhat, Duc Vo, Subhash Challa, Sungyoung Lee
• Keywords: ACISICIS 2008, CS Reconstruction Performance, Information Management, Optimized Projection, Projection Matrix