Abstract
We present Gaussian Processes (GPs) for Digital communications. GPs can be used to construct analytical nonlinear regression functions, which can be suitable for digital communications in which linear solutions under perform. GPs can be cast as nonlinear MMSE and its hyperparameters can be easily learnt by maximum likelihood. We present some experimental results regarding multi-user detection in CDMA systems and show the GPs outperform linear and nonlinear state-of-the-art solutions. © 2006 IEEE.
Cite
CITATION STYLE
Pérez-Cruz, F., & Murillo-Fuentes, J. J. (2006). Gaussian processes for digital communications. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (Vol. 5). https://doi.org/10.1109/icassp.2006.1661392
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