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ICASSP
2011
IEEE
13 years 8 days ago
Bayesian Compressive Sensing for clustered sparse signals
In traditional framework of Compressive Sensing (CS), only sparse prior on the property of signals in time or frequency domain is adopted to guarantee the exact inverse recovery. ...
Lei Yu, Hong Sun, Jean-Pierre Barbot, Gang Zheng
JCP
2008
142views more  JCP 2008»
13 years 8 months ago
QoS Aware Query Processing Algorithm for Wireless Sensor Networks
In sensor networks, continuous query is commonly used for collecting periodical data from the objects under monitoring. This sort of queries needs to be carefully designed, in orde...
Jun-Zhao Sun
ICASSP
2009
IEEE
14 years 3 months ago
Decentralized variational filtering for simultaneous sensor localization and target tracking in binary sensor networks
Resource limitations in wireless sensor networks have put stringent constraints on distributed signal processing. In this paper, we propose a cluster-based decentralized variation...
Jing Teng, Hichem Snoussi, Cédric Richard
GSN
2009
Springer
155views Sensor Networks» more  GSN 2009»
14 years 12 days ago
Distributed Network Configuration for Wavelet-Based Compression in Sensor Networks
En-route data compression is fundamental to reduce the power consumed for data gathering in sensor networks. Typical in-network compression schemes involve the distributed computat...
Paula Tarrío, Giuseppe Valenzise, Godwin Sh...
IPCV
2008
13 years 10 months ago
Robust Hough-Based Symbol Recognition Using Knowledge-Based Hierarchical Neural Networks
Abstract - A robust method for symbol recognition is presented that utilizes a compact signature based on a modified Hough Transform (HT) and knowledge-based hierarchical neural ne...
Alexander Wong, William Bishop