The theory of compressed sensing tells a dramatic story that sparse signals can be reconstructed near-perfectly from a small number of random measurements. However, recent work ha...
As sensor networks increase in size and number, efficient techniques are required to process the very large data sets that they generate. Frequently, sensor networks monitor object...
A hash function h, i.e., a function from the set U of all keys to the range range [m] = {0, . . . , m − 1} is called a perfect hash function (PHF) for a subset S ⊆ U of size n ...
Djamal Belazzougui, Fabiano C. Botelho, Martin Die...
In this paper, we investigate the benefits of a flexible, application-specific instruction set by adding a run-time Reconfigurable Functional Unit (RFU) to a VLIW processor. Preli...
Compressed sensing (CS) has recently emerged as a powerful signal acquisition paradigm. In essence, CS enables the recovery of high-dimensional sparse signals from relatively few ...
Jarvis Haupt, Waheed Uz Zaman Bajwa, Gil M. Raz, R...