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

Volume

53

Issue

7

fYear

2005

fDate

7/1/2005 12:00:00 AM

Firstpage

2576

Lastpage

2579

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;

fLanguage

English

Journal_Title

Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1053-587X

Type

jour

DOI

10.1109/TSP.2005.849221

Filename

1453788