Compressed sensing or compressive sampling (CS) has been receiving a lot of interest as a promising method for signal recovery and sampling. CS problems can be cast as convex prob...
Seung-Jean Kim, Kwangmoo Koh, Michael Lustig, Step...
Remote navigation in image-based scene representations requires random access to parts of the compressed reference image data to compose virtual views. The degree of dependencies ...
Serial links in network on chip provide advantages in terms of reduced wiring area, reduced switch complexity and power. However, serial links offer lower bandwidth in comparison ...
Compressed Sensing is a new paradigm for acquiring the compressible signals that arise in many applications. These signals can be approximated using an amount of information much ...
Anna C. Gilbert, Martin J. Strauss, Joel A. Tropp,...
RadixZip is a block compression technique for token streams. It introduces RadixZip Transform, a linear time algorithm that rearranges bytes using a technique inspired by radix so...