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101
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DCOSS
2009
Springer
15 years 5 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
142
Voted
JMLR
2012
13 years 3 months ago
Universal Measurement Bounds for Structured Sparse Signal Recovery
Standard compressive sensing results state that to exactly recover an s sparse signal in Rp , one requires O(s · log p) measurements. While this bound is extremely useful in prac...
Nikhil S. Rao, Ben Recht, Robert D. Nowak
114
Voted
SECON
2010
IEEE
14 years 10 months 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
145
Voted
TSP
2010
14 years 7 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
97
Voted
ICIP
2000
IEEE
16 years 2 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