Compressed Sensing Algorithm Based on CVX

In this paper, a compressed sensing algorithm based on CVX is presented. Currently, the Compressed Sensing (CS) theory has been widely used in SAR imaging and other areas to release the burden of system on huge amount of data sampling, storage and transmission. Signal reconstruction is the most important part of CS. The reconstruction problem can be changed to a convex optimization problem which can be solved with CVX. The proposed algorithm improves the accuracy of signal reconstruction and makes the program easy and pellucid. We proved the validity of the algorithm at the end of the paper and the experiment shows that the algorithm proposed performs better than other methods.