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» Optimal Approximation of Signal Priors
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103
Voted
FOCM
2010
82views more  FOCM 2010»
15 years 2 months ago
Stability and Instance Optimality for Gaussian Measurements in Compressed Sensing
In compressed sensing we seek to gain information about vector x ∈ RN from d << N nonadaptive linear measurements. Candes, Donoho, Tao et. al. ( see e.g. [2, 4, 8]) propos...
P. Wojtaszczyk
148
Voted
DMSN
2004
ACM
15 years 9 months ago
Approximately uniform random sampling in sensor networks
Recent work in sensor databases has focused extensively on distributed query problems, notably distributed computation of aggregates. Existing methods for computing aggregates bro...
Boulat A. Bash, John W. Byers, Jeffrey Considine
140
Voted
ICC
2009
IEEE
180views Communications» more  ICC 2009»
15 years 10 months ago
Composite Hypothesis Testing for Cooperative Spectrum Sensing in Cognitive Radio
—In this paper, we present a composite hypothesis testing approach for cooperative spectrum sensing. We derive the optimal likelihood ratio test (LRT) statistic based on the Neym...
Sepideh Zarrin, Teng Joon Lim
122
Voted
CVPR
2009
IEEE
1696views Computer Vision» more  CVPR 2009»
16 years 10 months ago
Fast Normalized Cut with Linear Constraints
Normalized Cut is a widely used technique for solving a variety of problems. Although finding the optimal normalized cut has proven to be NP-hard, spectral relaxations can be ap...
Linli Xu (University of Alberta), Wenye Li (Univer...
139
Voted
ICASSP
2011
IEEE
14 years 7 months ago
Optimal and low-complexity iterative joint network/channel decoding for the multiple-access relay channel
In this paper, we investigate joint network and channel decoding algorithms for the multiple-access relay channel. We consider a realistic reference scenario with Rayleigh fading ...
Xuan-Thang Vu, Marco Di Renzo, Pierre Duhamel