Compressive sensing aims to recover a sparse or compressible signal from a small set of projections onto random vectors; conventional solutions involve linear programming or greed...
Marco F. Duarte, Michael B. Wakin, Richard G. Bara...
This paper describes a software-based method for interactive transfer function modification. Our approach exploits the fact that, in general, a user will rarely want to modify the...
Compressive Sensing is an emerging field based on the revelation that a small group of non-adaptive linear projections of a compressible signal contains enough information for rec...
Michael B. Wakin, Jason N. Laska, Marco F. Duarte,...
In this paper, we presented a method for integer reversible implementation of KLT for multiple component image compression. The progressive-to-lossless compression algorithm emplo...
Abstract-- We present two-dimensional (space/time) compression techniques that reduce test data volume and test application time for scan testing of intellectual property (IP) core...
Lei Li, Krishnendu Chakrabarty, Seiji Kajihara, Sh...