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Revisiting Bayesian Blind Deconvolution
Blind deconvolution blind image deblurring variational Bayes sparse priors sparse estimation
2013/6/14
Blind deconvolution involves the estimation of a sharp signal or image given only a blurry observation. Because this problem is fundamentally ill-posed, strong priors on both the sharp image and blur ...
Variational Semi-blind Sparse Deconvolution with Orthogonal Kernel Bases and its Application to MRFM
Variational Bayesian inference posterior image distribution image reconstruction hyperparameter estimation MRFM experiment
2013/5/2
We present a variational Bayesian method of joint image reconstruction and point spread function (PSF) estimation when the PSF of the imaging device is only partially known. To solve this semi-blind d...
Semi-Blind System Identification in Wireless Relay Networks via Gaussian Process Iterated Conditioning on the Modes Estimation
Relay networks System Identification Gaussian processes Kernel methods
2011/7/7
This paper presents a flexible stochastic model developed for a class of cooperative wireless relay networks, in which the relay processing functionality is not known at the destination. The challenge...
Estimation error for blind Gaussian time series filtering
Asymptotic Statistics Covariance Estimation Time Series
2010/3/10
In the frame of time series analysis, we compute the quadratic error in the
blind estimation of the projection operator for prediction with infinite past. The
estimation is made using only a single ...
Correction to:“Blind maximum likelihood separation of a linear-quadratic mixture”
Correction Blind maximum likelihood separation linear-quadratic mixture
2010/3/9
An error occurred in the computation of a gradient in [1]. The equa-
tions (20) in Appendix and (17) in the text were not correct. The current
paper presents the correct version of these equations.
ADIS——A robust pursuit algorithm for probabilistic，constrained and non-square blind source separation with application to fMRI
ADIS robust pursuit algorithm blind source separation fMRI
2010/3/18
In this article, we develop an algorithm for probabilistic and constrained projection pursuit.
Our algorithm called ADIS (automated decomposition into sources) accepts arbitrary non-linear
contrast ...
Undercomplete Blind Subspace Deconvolution via Linear Prediction
Undercomplete Blind Subspace Deconvolution Linear Prediction
2010/4/29
Undercomplete Blind Subspace Deconvolution via Linear Prediction。
Undercomplete Blind Subspace Deconvolution
Undercomplete Blind Subspace Deconvolution blind source deconvolution
2010/4/26
We introduce the blind subspace deconvolution (BSSD) problem, which is the extension of both the blind source deconvolution (BSD) and the independent subspace analysis (ISA) tasks. We examine the case...
A Dynamic Algorithm for Blind Separation of Convolutive Sound Mixtures
Convolutive Mixtures Indeterminacies Dynamic Statistics Update Optimization Blind Separation
2010/4/28
We study an efficient dynamic blind source separation algorithm of
convolutive sound mixtures based on updating statistical information
in the frequency domain, and minimizing the support of time do...