Compressed sensing is a novel technique where one can recover sparse signals from the undersampled measurements. In this paper, a K × N measurement matrix for compressed sensing ...
It is important that long running server programs retain availability amidst software failures. However, server programs do fail and one of the important causes of failures in ser...
Abstract-- We study the identifiability (i.e. the unique identification) problems for 1-D heat conduction in a nonhomogeneous rod. The piecewise constant conductivity of the rod ca...
Abstract— Maintaining semantic consistency of data is a significant problem in distributed information systems, particularly those on which a business may depend. Our current wo...
Jeremy W. Bryans, John S. Fitzgerald, Alexander Ro...
We consider a problem of considerable practical interest: the recovery of a data matrix from a sampling of its entries. Suppose that we observe m entries selected uniformly at ran...