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ICIP
2006
IEEE
15 years 11 months ago
An Architecture for Compressive Imaging
Compressive Sensing is an emerging field based on the revelation that a small group of non-adaptive linear projections of a compressible signal contains enough information for rec...
Michael B. Wakin, Jason N. Laska, Marco F. Duarte,...
TIP
2010
112views more  TIP 2010»
14 years 8 months ago
Variable Density Compressed Image Sampling
Compressed sensing (CS) provides an efficient way to acquire and reconstruct natural images from a reduced number of linear projection measurements at sub-Nyquist sampling rates....
Zhongmin Wang, Gonzalo R. Arce
CDC
2010
IEEE
140views Control Systems» more  CDC 2010»
14 years 4 months ago
On the observability of linear systems from random, compressive measurements
Abstract-- Recovering or estimating the initial state of a highdimensional system can require a potentially large number of measurements. In this paper, we explain how this burden ...
Michael B. Wakin, Borhan Molazem Sanandaji, Tyrone...
HAPTICS
2008
IEEE
15 years 4 months ago
Kinaesthetic and Cutaneous Contributions to the Perception of Compressibility
Abstract. Compressibility or hardness of objects is an important aspect in haptic perception. Both cutaneous and kinaesthetic information are used for the perception of compressibi...
Wouter M. Bergmann Tiest, Astrid M. L. Kappers
CPM
2007
Springer
73views Combinatorics» more  CPM 2007»
15 years 1 months ago
Move-to-Front, Distance Coding, and Inversion Frequencies Revisited
Move-to-Front, Distance Coding and Inversion Frequencies are three simple and effective techniques used to process the output of the Burrows-Wheeler Transform. In this paper we pr...
Travis Gagie, Giovanni Manzini