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TSP
2010
13 years 13 days ago
Distributed sparse linear regression
The Lasso is a popular technique for joint estimation and continuous variable selection, especially well-suited for sparse and possibly under-determined linear regression problems....
Gonzalo Mateos, Juan Andrés Bazerque, Georg...
TSP
2010
13 years 13 days ago
Compressed sensing performance bounds under Poisson noise
Abstract--This paper describes performance bounds for compressed sensing (CS) where the underlying sparse or compressible (sparsely approximable) signal is a vector of nonnegative ...
Maxim Raginsky, Rebecca Willett, Zachary T. Harman...
TSP
2010
13 years 13 days ago
Mitigating channel estimation error with timing synchronization tradeoff in cooperative communications
Channel estimation error and co-channel interference (CCI) problems are among the main causes of performance degradation in wireless networks. In this paper, we investigate the im...
Ahmed S. Ibrahim, K. J. Ray Liu
TSP
2010
13 years 13 days ago
Sparse channel estimation for multicarrier underwater acoustic communication: from subspace methods to compressed sensing
Abstract--In this paper, we investigate various channel estimators that exploit channel sparsity in the time and/or Doppler domain for a multicarrier underwater acoustic system. We...
Christian R. Berger, Shengli Zhou, James C. Preisi...
TVLSI
2010
13 years 13 days ago
Asynchronous Current Mode Serial Communication
Abstract--An asynchronous high-speed wave-pipelined bit-serial link for on-chip communication is presented as an alternative to standard bit-parallel links. The link employs the di...
Rostislav (Reuven) Dobkin, Michael Moyal, Avinoam ...
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