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CDC
2010
IEEE
112views Control Systems» more  CDC 2010»
12 years 11 months ago
An overview of recent results on the identification of sparse channels using random probes
In this paper, we collect and discuss some of the recent theoretical results on channel identification using a random probe sequence. These results are part of the body of work kno...
Justin Romberg
TIT
2010
174views Education» more  TIT 2010»
12 years 11 months ago
Toeplitz Compressed Sensing Matrices With Applications to Sparse Channel Estimation
Compressed sensing (CS) has recently emerged as a powerful signal acquisition paradigm. In essence, CS enables the recovery of high-dimensional sparse signals from relatively few ...
Jarvis Haupt, Waheed Uz Zaman Bajwa, Gil M. Raz, R...
TSP
2008
106views more  TSP 2008»
13 years 4 months ago
Identification of Matrices Having a Sparse Representation
We consider the problem of recovering a matrix from its action on a known vector in the setting where the matrix can be represented efficiently in a known matrix dictionary. Conne...
Götz E. Pfander, Holger Rauhut, Jared Tanner
ALGORITHMICA
1998
73views more  ALGORITHMICA 1998»
13 years 4 months ago
Linear Probing and Graphs
Mallows and Riordan showed in 1968 that labeled trees with a small number of inversions are related to labeled graphs that are connected and sparse. Wright enumerated sparse connec...
Donald E. Knuth
BMCBI
2008
107views more  BMCBI 2008»
13 years 4 months ago
Probe-specific mixed-model approach to detect copy number differences using multiplex ligation-dependent probe amplification (ML
Background: MLPA method is a potentially useful semi-quantitative method to detect copy number alterations in targeted regions. In this paper, we propose a method for the normaliz...
Juan R. González, Josep L. Carrasco, Llu&ia...