We study the distributed sampling and centralized reconstruction of two correlated signals, modeled as the input and output of an unknown sparse filtering operation. This is akin ...
Ali Hormati, Olivier Roy, Yue M. Lu, Martin Vetter...
Recently, among various data hiding techniques, a new subset, lossless data hiding, has received increasing interest. Most of the existing lossless data hiding algorithms are, howe...
Zhicheng Ni, Yun Q. Shi, Nirwan Ansari, Wei Su, Qi...
A new interactive floorspace has been developed which uses modular nodes connected together to create a pressuresensitive area of varying size and shape, giving it the potential t...
Bruce Richardson, Joseph A. Paradiso, Krispin Leyd...
The joint-sparse recovery problem aims to recover, from sets of compressed measurements, unknown sparse matrices with nonzero entries restricted to a subset of rows. This is an ex...
—Sparse representations have emerged as a powerful tool in signal and information processing, culminated by the success of new acquisition and processing techniques such as Compr...