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» Network Tomography via Compressed Sensing
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GLOBECOM
2010
IEEE
13 years 2 months ago
Network Tomography via Compressed Sensing
In network tomography, we seek to infer link status parameters (such as delay) inside a network through end-toend probe sending between (external) boundary nodes. The main challeng...
Mohammad Hamed Firooz, Sumit Roy
ICIP
2007
IEEE
14 years 6 months ago
Compressed Sensing Image Reconstruction Via Recursive Spatially Adaptive Filtering
We introduce a new approach to image reconstruction from highly incomplete data. The available data are assumed to be a small collection of spectral coef?cients of an arbitrary li...
Karen O. Egiazarian, Alessandro Foi, Vladimir Katk...
DCOSS
2009
Springer
13 years 9 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
CISS
2008
IEEE
13 years 11 months ago
Reconstruction of compressively sensed images via neurally plausible local competitive algorithms
Abstract—We develop neurally plausible local competitive algorithms (LCAs) for reconstructing compressively sensed images. Reconstruction requires solving a sparse approximation ...
Robert L. Ortman, Christopher J. Rozell, Don H. Jo...
CORR
2010
Springer
167views Education» more  CORR 2010»
13 years 2 months ago
Compressive Sensing over Graphs
In this paper, motivated by network inference and tomography applications, we study the problem of compressive sensing for sparse signal vectors over graphs. In particular, we are ...
Weiyu Xu, Enrique Mallada, Ao Tang