7 results about "Bayesian compressive sensing" patented technology

Bayesian Compressive Sensing (BCS) is a Bayesian framework for solving the inverse problem of compressive sensing (CS). The basic BCS algorithm adopts the relevance vector machine (RVM) [Tipping & Faul, 2003], and later it is extended by marginalizing the noise variance (see the multi-task CS paper below) with improved robustness.