This paper studies compressed sensing for the recovery of non-negative sparse vectors from a smaller number of measurements than the ambient dimension of the unknown vector. We fo...
Standard compressive sensing results state that to exactly recover an s sparse signal in Rp , one requires O(s · log p) measurements. While this bound is extremely useful in prac...
As wireless LAN devices become more prevalent in the consumer electronics market, there is an ever increasing pressure to reduce their overall cost. The test cost of such devices ...
Aspects are defined as well-modularized crosscutting concerns. Despite being a core tenet of Aspect Oriented Programming, little research has been done in characterizing and measur...
We develop a purely ordinal model for aggregation functionals for lattice valued functions, comprising as special cases quantiles, the Ky Fan metric and the Sugeno integral. For m...