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162
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TIT
2010
174views Education» more  TIT 2010»
14 years 10 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...
144
Voted
TSP
2010
14 years 10 months ago
Complex Gaussian scale mixtures of complex wavelet coefficients
In this paper, we propose the complex Gaussian scale mixture (CGSM) to model the complex wavelet coefficients as an extension of the Gaussian scale mixture (GSM), which is for real...
Yothin Rakvongthai, An P. N. Vo, Soontorn Oraintar...
132
Voted
TSP
2010
14 years 10 months ago
Distributed estimation of channel gains in wireless sensor networks
We consider the problem of distributed channel estimation in a sensor network which employs a random sleep strategy to conserve energy. If the N network nodes are randomly placed a...
Sivagnanasundaram Ramanan, John MacLaren Walsh
97
Voted
ICASSP
2011
IEEE
14 years 7 months ago
Detection of targets embedded in multipath clutter with Time Reversal
—Detection of targets in complex environments is of importance in both radar and sonar applications. Recent work has shown that the use of Time Reversal (TR) techniques improves ...
Nicholas O'Donoughue, Joel Harley, José M. ...
ICASSP
2011
IEEE
14 years 7 months ago
Langevin and hessian with fisher approximation stochastic sampling for parameter estimation of structured covariance
We have studied two efficient sampling methods, Langevin and Hessian adapted Metropolis Hastings (MH), applied to a parameter estimation problem of the mathematical model (Lorent...
Cornelia Vacar, Jean-François Giovannelli, ...