主講者: Professor Alexander Powell( Vanderbilt University) 講題: Compressed sensing and Sobolev duals of Gaussian random matrices 時間: 2012-06-25 (Mon.)  14:10 - 地點: 數學所 722 研討室 (台大院區) Abstract: Compressed sensing addresses the problem of representing sparse signals in high dimensions using a small number of linear measurements. We shall consider the problem of quantization (analog-to-digital conversion) for compressed sensing measurements. We show that the class of sigma-delta algorithms performs well in this setting and we prove error bounds to quantify the improvement over standard methods. Our approach crucially makes use of special non-canonical dual frames, known as Sobolev duals, associated to Gaussian random matrices. || Close window ||