Stochastic optimization using automatic relevance determination prior model for Bayesian compressive sensing

摘要

Compared with the conventional monitoring approach of separately sensing and then compressing the data, compressivesensing (CS) is a novel data acquisition framework whereby the compression is done during the sampling. If the originalsensed signal would h