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ICDCS
2005
IEEE
15 years 5 months ago
Fine-Grain Adaptive Compression in Dynamically Variable Networks
Despite voluminous previous research on adaptive compression, we found significant challenges when attempting to fully utilize both network bandwidth and CPU. We describe the Fine...
Calton Pu, Lenin Singaravelu
EOR
2011
134views more  EOR 2011»
14 years 6 months ago
Linear programming based decomposition methods for inventory distribution systems
We consider an inventory distribution system consisting of one warehouse and multiple retailers. The retailers face random demand and are supplied by the warehouse. The warehouse ...
Sumit Kunnumkal, Huseyin Topaloglu
ICASSP
2008
IEEE
15 years 6 months ago
Wavelet-domain compressive signal reconstruction using a Hidden Markov Tree model
Compressive sensing aims to recover a sparse or compressible signal from a small set of projections onto random vectors; conventional solutions involve linear programming or greed...
Marco F. Duarte, Michael B. Wakin, Richard G. Bara...
ICASSP
2011
IEEE
14 years 3 months ago
Improved model-based spectral compressive sensing via nested least squares
This paper introduces a new algorithm for reconstructing signals with sparse spectrums from noisy compressive measurements. The proposed model-based algorithm takes the signal str...
Mahdi Shaghaghi, Sergiy A. Vorobyov
CORR
2008
Springer
158views Education» more  CORR 2008»
14 years 11 months ago
Distributed and Recursive Parameter Estimation in Parametrized Linear State-Space Models
We consider a network of sensors deployed to sense a spatio-temporal field and infer parameters of interest about the field. We are interested in the case where each sensor's...
S. Sundhar Ram, Venugopal V. Veeravalli, Angelia N...