Compressed sensing(CS) suggests that a signal, sparse in some basis, can be recovered from a small number of random projections. In this paper, we apply the CS theory on sparse ba...
Dikpal Reddy, Aswin C. Sankaranarayanan, Volkan Ce...
Abstract. A compressed full-text self-index for a text T is a data structure requiring reduced space and able of searching for patterns P in T. Furthermore, the structure can repro...
Title of thesis: MEMORY OVERFLOW PROTECTION FOR EMBEDDED SYSTEMS USING RUN-TIME CHECKS, REUSE AND COMPRESSION Surupa Biswas, Master of Science, 2004 Thesis directed by: Assistant ...
Future embedded systems (ES) will offer higher computation capacity than existing embedded systems. New applications of these ES require more and more memory resources and more an...
In this paper, motivated by network inference and tomography applications, we study the problem of compressive sensing for sparse signal vectors over graphs. In particular, we are ...