2015
On the fly estimation of the sparsity degree in Compressed Sensing using sparse sensing matrices
ICASSP 2015accepted
In this paper, we propose a mathematical model to estimate the sparsity degree k of exactly k-sparse signals acquired through Compressed Sensing (CS). Our method does not need to recover the signal to estimate its sparsity, and is based on the use of sparse sensing matrices. We exploit this model to…