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ICASSP
2010
IEEE
13 years 8 months ago
Texas Hold 'Em algorithms for distributed compressive sensing
This paper develops a new class of algorithms for signal recovery in the distributed compressive sensing (DCS) framework. DCS exploits both intra-signal and inter-signal correlati...
Stephen R. Schnelle, Jason N. Laska, Chinmay Hegde...
CORR
2010
Springer
116views Education» more  CORR 2010»
13 years 8 months ago
Estimation with Random Linear Mixing, Belief Propagation and Compressed Sensing
Abstract--We apply Guo and Wang's relaxed belief propagation (BP) method to the estimation of a random vector from linear measurements followed by a componentwise probabilisti...
Sundeep Rangan
GLOBECOM
2010
IEEE
13 years 5 months ago
Network Tomography via Compressed Sensing
In network tomography, we seek to infer link status parameters (such as delay) inside a network through end-toend probe sending between (external) boundary nodes. The main challeng...
Mohammad Hamed Firooz, Sumit Roy
ICIP
2010
IEEE
13 years 5 months ago
Sectional image reconstruction in optical scanning holography using compressed sensing
Optical scanning holography is a form of digital holographic system, which allows us to capture a three-dimensional (3D) object in the two-dimensional (2D) hologram. A postprocess...
Xin Zhang, Edmund Y. Lam
ICIP
2010
IEEE
13 years 5 months ago
Compressed sensing of multiview images using disparity compensation
Compressed sensing is applied to multiview image sets and interimage disparity compensation is incorporated into image reconstruction in order to take advantage of the high degree...
Maria Trocan, Thomas Maugey, Eric W. Tramel, James...