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TIP
2010
113views more  TIP 2010»
14 years 10 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...
147
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TIP
2010
167views more  TIP 2010»
14 years 10 months ago
A Bayesian Framework for Image Segmentation With Spatially Varying Mixtures
Abstract--A new Bayesian model is proposed for image segmentation based upon Gaussian mixture models (GMM) with spatial smoothness constraints. This model exploits the Dirichlet co...
Christophoros Nikou, Aristidis Likas, Nikolas P. G...
122
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TIT
2010
90views Education» more  TIT 2010»
14 years 10 months ago
Group codes outperform binary-coset codes on nonbinary symmetric memoryless channels
Typical minimum distances and error exponents are analyzed on the 8-PSK Gaussian channel for two capacityachieving code ensembles with different algebraic structure. It is proved t...
Giacomo Como
TIT
2010
137views Education» more  TIT 2010»
14 years 10 months ago
Stable recovery of sparse signals and an oracle inequality
This article considers sparse signal recovery in the presence of noise. A mutual incoherence condition which was previously used for exact recovery in the noiseless case is shown t...
T. Tony Cai, Lie Wang, Guangwu Xu
SIGPRO
2011
275views Hardware» more  SIGPRO 2011»
14 years 6 months ago
Synthesis of multivariate stationary series with prescribed marginal distributions and covariance using circulant matrix embeddi
The problem of synthesizing multivariate stationary series Y [n] = (Y1[n], . . . , YP [n])T , n ∈ Z, with prescribed non-Gaussian marginal distributions, and a targeted covarian...
Hannes Helgason, Vladas Pipiras, Patrice Abry