Current distributed database and stream processing systems assume that the network connecting nodes in the data processor is "always on," and that the absence of a netwo...
Yang Zhang, Bret Hull, Hari Balakrishnan, Samuel M...
Traditionally, distributed computing problems have been solved by partitioning data into chunks able to be handled by commodity hardware. Such partitioning is not possible in case...
— We study stability regions of multi-rate Gaussian multiple access (MAC) and broadcast (BC) networks with centralized scheduling algorithms. Techniques are presented to characte...
Blind source separation, which supposes that the sources are independent, is a well known domain in signal processing. However, in a noisy environment the estimation of the criteri...
Bertrand Rivet, Vincent Vigneron, Anisoara Parasch...
The main contribution presented here is an adaptive/unsupervised iterative thresholding algorithm for sparse representation of signals which can be modeled as the sum of two compo...