A Quaternion Widely Linear Model for Nonlinear Gaussian Estimation

Abstract

This paper deals with the nonlinear minimum mean-squared error estimation problem by using a quaternion widely linear model. On the basis of the information supplied by a Gaussian signal and its square, a quaternion observation process is defined and then, by applying a widely linear processing, an optimal estimator for the continuous-time setting is… (More)
DOI: 10.1109/TSP.2014.2364790

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@article{NavarroMoreno2014AQW, title={A Quaternion Widely Linear Model for Nonlinear Gaussian Estimation}, author={Jes{\'u}s Navarro-Moreno and Rosa M. Fern{\'a}ndez-Alcal{\'a} and Juan Carlos Ruiz-Molina}, journal={IEEE Transactions on Signal Processing}, year={2014}, volume={62}, pages={6414-6424} }