Fast and Efficient Compressive Sensing Using Structurally Random Matrices
Fast and Efficient Compressive Sensing Using Structurally Random Matrices
This paper introduces a new framework of fast and efficient sensing matrices for practical compressive sensing, called Structurally Random Matrix (SRM). In the proposed framework, we pre-randomize a sensing signal by scrambling its samples or flipping its sample signs and then fast-transform the randomized samples and finally, subsample the transform …