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» Convex and Network Flow Optimization for Structured Sparsity
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ICASSP
2011
IEEE
12 years 11 months ago
Mixed norms with overlapping groups as signal priors
In a number of signal processing applications, problem formulations based on the 1 norm as a sparsity inducing signal prior lead to simple algorithms with good performance. Howeve...
Ilker Bayram
CORR
2006
Springer
189views Education» more  CORR 2006»
13 years 7 months ago
Node-Based Optimal Power Control, Routing, and Congestion Control in Wireless Networks
Abstract--In wireless networks, important network functionalities such as power control, rate allocation, routing, and congestion control must be optimized in a coherent and integr...
Yufang Xi, Edmund M. Yeh
SIGMETRICS
2008
ACM
116views Hardware» more  SIGMETRICS 2008»
13 years 7 months ago
Optimal sampling in state space models with applications to network monitoring
Advances in networking technology have enabled network engineers to use sampled data from routers to estimate network flow volumes and track them over time. However, low sampling ...
Harsh Singhal, George Michailidis
ICASSP
2011
IEEE
12 years 11 months ago
Collaborative sources identification in mixed signals via hierarchical sparse modeling
A collaborative framework for detecting the different sources in mixed signals is presented in this paper. The approach is based on CHiLasso, a convex collaborative hierarchical s...
Pablo Sprechmann, Ignacio Ramírez, Pablo Ca...
EOR
2008
106views more  EOR 2008»
13 years 7 months ago
Convergent Lagrangian heuristics for nonlinear minimum cost network flows
We consider the separable nonlinear and strictly convex single-commodity network flow problem (SSCNFP). We develop a computational scheme for generating a primal feasible solution...
Torbjörn Larsson, Johan Marklund, Caroline Ol...