Compressive Computing

Speaker

H.T. Kung

Abstract

Data is growing very fast. Big data analytics seems to grow even faster. Fortunately, such analysis can often work under some compressed representations of data to reduce computation requirements. Based on the recent theory of compressive sensing, our research group at Harvard has developed a general framework of compressed domain computing. In this presentation I will describe underlying theory and applications in radar processing and inference computation.