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» Multiple Target Localization Using Compressive Sensing
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FUIN
1998
135views more  FUIN 1998»
13 years 7 months ago
A Study on Partitioned Iterative Function Systems for Image Compression
The technique of image compression using Iterative Function System (IFS) is known as fractal image compression. An extension of IFS theory is called as Partitioned or local Iterati...
Suman K. Mitra, C. A. Murthy, Malay Kumar Kundu
TSP
2010
13 years 2 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
GLOBECOM
2009
IEEE
14 years 2 months ago
Distributed Target Tracking with Directional Binary Sensor Networks
—One of the most common and important applications of wireless sensor networks is target tracking. We study it in its most basic form, assuming the binary sensing model in which ...
Zijian Wang, Eyuphan Bulut, Boleslaw K. Szymanski
SENSYS
2006
ACM
14 years 1 months ago
Target tracking with binary proximity sensors: fundamental limits, minimal descriptions, and algorithms
We explore fundamental performance limits of tracking a target in a two-dimensional field of binary proximity sensors, and design algorithms that attain those limits. In particul...
Nisheeth Shrivastava, Raghuraman Mudumbai, Upamany...
IROS
2007
IEEE
107views Robotics» more  IROS 2007»
14 years 1 months ago
Visibility in motion
Abstract— We address the problem of determining and obtaining the visibility of a moving target from multiple angles using a mobile robot. The pursuer uses a modified form of pu...
Esra Kadioglu Urtis, Loren Fiore, Nikolaos Papanik...