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133
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CVPR
2008
IEEE
16 years 4 months ago
An efficient algorithm for compressed MR imaging using total variation and wavelets
Compressed sensing, an emerging multidisciplinary field involving mathematics, probability, optimization, and signal processing, focuses on reconstructing an unknown signal from a...
Shiqian Ma, Wotao Yin, Yin Zhang, Amit Chakraborty
120
Voted
DCOSS
2009
Springer
15 years 7 months ago
Compressed RF Tomography for Wireless Sensor Networks: Centralized and Decentralized Approaches
Radio Frequency (RF) tomography refers to the process of inferring information about an environment by capturing and analyzing RF signals transmitted between nodes in a wireless se...
Mohammad A. Kanso, Michael G. Rabbat
131
Voted
SECON
2010
IEEE
15 years 20 days ago
C-DMRC: Compressive Distortion-Minimizing Rate Control for Wireless Multimedia Sensor Networks
Abstract--This paper investigates the potential of the compressed sensing (CS) paradigm for video streaming in Wireless Multimedia Sensor Networks. The objective is to co-design a ...
Scott Pudlewski, Tommaso Melodia, Arvind Prasanna
163
Voted
TSP
2010
14 years 9 months ago
Decentralized sparse signal recovery for compressive sleeping wireless sensor networks
Abstract--This paper develops an optimal decentralized algorithm for sparse signal recovery and demonstrates its application in monitoring localized phenomena using energy-constrai...
Qing Ling, Zhi Tian
113
Voted
ICIP
2000
IEEE
16 years 4 months ago
Optimizing Block-Threshold Segmentation for MRC Compression
Compound document images contain graphic or textual content along with pictures. They are a very common form of documents, found in magazines, brochures, web-sites, etc. We focus ...
Ricardo L. de Queiroz, Zhigang Fan, Trac D. Tran