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» Bayesian Compressive Sensing for clustered sparse signals
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ICNP
2003
IEEE
13 years 10 months ago
Dynamic Clustering for Acoustic Target Tracking in Wireless Sensor Networks
Abstract—In the paper, we devise and evaluate a fully decentralized, light-weight, dynamic clustering algorithm for target tracking. Instead of assuming the same role for all the...
Wei-Peng Chen, Jennifer C. Hou, Lui Sha
CORR
2010
Springer
164views Education» more  CORR 2010»
13 years 5 months ago
Sub-Nyquist Sampling of Short Pulses: Part I
We develop sub-Nyquist sampling systems for analog signals comprised of several, possibly overlapping, finite duration pulses with unknown shapes and time positions. Efficient sam...
Ewa Matusiak, Yonina C. Eldar
ICASSP
2011
IEEE
12 years 9 months ago
Basis Pursuit in sensor networks
Basis Pursuit (BP) finds a minimum ℓ1-norm vector z that satisfies the underdetermined linear system Mz = b, where the matrix M and vector b are given. Lately, BP has attracte...
João F. C. Mota, João M. F. Xavier, ...