Abstract--This paper develops an optimal decentralized algorithm for sparse signal recovery and demonstrates its application in monitoring localized phenomena using energy-constrai...
We use the theory and algorithms developed for so-called shiftinvariant spaces to develop a novel distributed architecture for sampling and reconstructing non-bandlimited fields i...
We consider distributed estimation of a time-dependent, random state vector based on a generally nonlinear/non-Gaussian state-space model. The current state is sensed by a serial ...
Abstract—In the existing works on distributed detection in sensor networks, local sensor nodes either quantize the observation or directly scale the analog observation and then t...
This paper deals with clustering of spatially distributed data using wireless sensor networks. A distributed low-complexity clustering algorithm is developed that requires one-hop...
Pedro A. Forero, Alfonso Cano, Georgios B. Giannak...