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arXiv · 1506.02952

Three-Dimensional Wind Profile Prediction with Trinion-Valued Adaptive Algorithms

Xiaoming Gou·Zhiwen Liu·Wei Liu·Yougen Xu
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Abstract

The problem of three-dimensional (3-D) wind profile prediction is addressed based a trinion wind model, which inherently reckons the coupling of the three perpendicular components of a wind field. The augmented trinion statistics are developed and employed to enhance the prediction performance due to its full exploitation of the second-order statistics. The proposed trinion domain processing can be regarded as a more compact version of the existing quaternion-valued approach, with a lower computational complexity. Simulations based on recorded wind data are provided to demonstrate the effectiveness of the proposed methods.

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Xiaoming Gou, Zhiwen Liu, Wei Liu, Yougen Xu. 2015-06-09. Three-Dimensional Wind Profile Prediction with Trinion-Valued Adaptive Algorithms. https://doi.org/10.1109/icdsp.2015.7251937

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