Title :
Quasi maximum likelihood MIMO blind deconvolution: Super- and sub-Gaussianity versus consistency
Author :
Bronstein, Alexander ; Bronstein, Michael M. ; Zibulevsky, Michael
Author_Institution :
Dept. of Comput. Sci., Technion - Israel Inst. of Technol., Haifa, Israel
fDate :
7/1/2005 12:00:00 AM
Abstract :
In this correspondence, we consider the problem of multi-input multi output (MIMO) quasi maximum likelihood (QML) blind deconvolution. We examine two classes of estimators, which are commonly believed to be suitable for super and sub-Gaussian sources. We state the consistency conditions and demonstrate a source distribution, for which the studied estimators are unsuitable, in the sense that they are inconsistent.
Keywords :
Gaussian processes; MIMO systems; blind source separation; deconvolution; maximum likelihood estimation; blind source separation; kurtosis; multiinput multioutput blind deconvolution; quasi maximum likelihood MIMO blind deconvolution; source distribution; sub-Gaussianity; super-Gaussianity; Blind source separation; Deconvolution; Delay estimation; Image restoration; MIMO; Maximum likelihood estimation; Probability density function; Sensor systems; Source separation; State estimation; Blind deconvolution; MIMO; blind source separation; consistency; kurtosis; quasi-maximum likelihood; sub-Gaussian; super-Gaussian;
Journal_Title :
Signal Processing, IEEE Transactions on
DOI :
10.1109/TSP.2005.849221
