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FOCS
2004
IEEE
14 years 1 months ago
Worst-Case to Average-Case Reductions Based on Gaussian Measures
We show that finding small solutions to random modular linear equations is at least as hard as approximating several lattice problems in the worst case within a factor almost line...
Daniele Micciancio, Oded Regev
TIP
2010
113views more  TIP 2010»
13 years 4 months ago
Multiplicative Noise Removal Using Variable Splitting and Constrained Optimization
Multiplicative noise (also known as speckle noise) models are central to the study of coherent imaging systems, such as synthetic aperture radar and sonar, and ultrasound and laser...
José M. Bioucas-Dias, Mário A. T. Fi...
TSP
2008
77views more  TSP 2008»
13 years 9 months ago
Soft-Decision Metrics for Coded Orthogonal Signaling in Symmetric Alpha-Stable Noise
This paper derives new soft-decision metrics for coded orthogonal signaling in impulsive noise, more specifically symmetric -stable noise. For the case of a known channel amplitude...
Michael R. Souryal, Erik G. Larsson, Bojan Peric, ...
ICASSP
2011
IEEE
13 years 1 months ago
Speech enhancement using a joint map estimator with Gaussian mixture model for (non-)stationary noise
In many applications non-stationary Gaussian or stationary nonGaussian noises can be observed. In this paper we present a maximum a posteriori estimation jointly of spectral ampli...
Balázs Fodor, Tim Fingscheidt
ICC
2007
IEEE
161views Communications» more  ICC 2007»
14 years 4 months ago
On the Maximum Useful Number of Receiver Antennas for MRC Diversity in Cochannel Interference and Noise
— The effect of noise on the maximum useful number of receiver antennas that can be deployed in a cochannel interference diversity system is examined. The long term signalpower-t...
Norman C. Beaulieu, Xiaodi Zhang