Imperial College London
Portrait Picture

ProfessorMichaelBronstein

Faculty of Engineering, Department of Computing

Visiting Professor
 
 
 
//

Contact

 

m.bronstein Website

 
 
//

Location

 

569Huxley BuildingSouth Kensington Campus

//

Summary

 

Publications

Citation

BibTex format

@article{Bronstein:2005:10.1109/TSP.2005.849221,
author = {Bronstein, AM and Bronstein, MM and Zibulevsky, M},
doi = {10.1109/TSP.2005.849221},
journal = {IEEE Transactions on Signal Processing},
pages = {2576--2579},
title = {Quasi maximum likelihood MIMO blind deconvolution: Super- and sub-Gaussianity versus consistency},
url = {http://dx.doi.org/10.1109/TSP.2005.849221},
volume = {53},
year = {2005}
}
Download

RIS format (EndNote, RefMan)

TY  - JOUR
AB  - 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. © 2005 IEEE.
AU  - Bronstein,AM
AU  - Bronstein,MM
AU  - Zibulevsky,M
DO  - 10.1109/TSP.2005.849221
EP  - 2579
PY  - 2005///
SN  - 1053-587X
SP  - 2576
TI  - Quasi maximum likelihood MIMO blind deconvolution: Super- and sub-Gaussianity versus consistency
T2  - IEEE Transactions on Signal Processing
UR  - http://dx.doi.org/10.1109/TSP.2005.849221
VL  - 53
ER  -
Download