@inproceedings{7d72218afdf540828b12c9ca03821a1d,
title = "Three-dimensional wind profile prediction with trinion-valued adaptive algorithms",
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.",
keywords = "adaptive filtering, least mean squares, trinion-valued representation, widely linear processing, wind profile prediction",
author = "Xiaoming Gou and Zhiwen Liu and Wei Liu and Yougen Xu",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; IEEE International Conference on Digital Signal Processing, DSP 2015 ; Conference date: 21-07-2015 Through 24-07-2015",
year = "2015",
month = sep,
day = "9",
doi = "10.1109/ICDSP.2015.7251937",
language = "English",
series = "International Conference on Digital Signal Processing, DSP",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "566--569",
booktitle = "2015 IEEE International Conference on Digital Signal Processing, DSP 2015",
address = "United States",
}