Prediction of wide-sense stationary quaternion random signals

نویسندگان

  • Jesús Navarro-Moreno
  • Rosa M. Fernández-Alcalá
  • Clive Cheong Took
  • Danilo P. Mandic
چکیده

An efficient widely linear prediction algorithm is introduced for the class of wide-sense stationary quaternion signals. Specifically, using second order statistics information in the quaternion domain, a multivariate Durbin–Levison-like algorithm is derived. The proposed solution can be applied under a very general formulation of the problem, allowing for the estimation of a function of the quaternion signal which is observed through a system with both additive/multiplicative noises. & 2013 Elsevier B.V. All rights reserved.

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عنوان ژورنال:
  • Signal Processing

دوره 93  شماره 

صفحات  -

تاریخ انتشار 2013