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ICIP
2009
IEEE
16 years 25 days ago
Dequantizing Compressed Sensing With Non-gaussian Constraints
In this paper, following the Compressed Sensing (CS) paradigm, we study the problem of recovering sparse or compressible signals from uniformly quantized measurements. We present ...
ICASSP
2010
IEEE
14 years 12 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...
ICIP
2010
IEEE
14 years 9 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...
TPDS
2010
89views more  TPDS 2010»
14 years 10 months ago
Energy-Efficient Protocol for Deterministic and Probabilistic Coverage in Sensor Networks
—Various sensor types, e.g., temperature, humidity, and acoustic, sense physical phenomena in different ways, and thus, are expected to have different sensing models. Even for th...
Mohamed Hefeeda, Hossein Ahmadi
ICRA
2007
IEEE
136views Robotics» more  ICRA 2007»
15 years 6 months ago
Bilateral Delayed Teleoperation: The Effects of a Passivated Channel Model and Force Sensing
— In this paper, based on a passivity framework, admittance-type and hybrid-type delay-compensated communication channel models are introduced, which warrant different bilateral ...
Arash Aziminejad, Mahdi Tavakoli, Rajnikant V. Pat...