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TSP
2010
13 years 5 months ago
Distributed sampling of signals linked by sparse filtering: theory and applications
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...
TCSV
2008
156views more  TCSV 2008»
13 years 10 months ago
Robust Lossless Image Data Hiding Designed for Semi-Fragile Image Authentication
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...
CHI
2004
ACM
14 years 11 months ago
Z-Tiles: building blocks for modular, pressure-sensing floorspaces
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...
TIT
2010
100views Education» more  TIT 2010»
13 years 5 months ago
Theoretical and empirical results for recovery from multiple measurements
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...
Ewout van den Berg, Michael P. Friedlander
CISS
2010
IEEE
13 years 2 months ago
Average case analysis of sparse recovery from combined fusion frame measurements
—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...
Petros Boufounos, Gitta Kutyniok, Holger Rauhut