Title :
Gaussian Processes for Digital Communications
Author :
Pérez-Cruz, Fernando ; Murillo-Fuentes, Juan José
Author_Institution :
Gatsby Comput. Neurosci. Unit, Univ. Coll. London
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
Keywords :
Gaussian processes; code division multiple access; digital communication; least mean squares methods; multiuser detection; regression analysis; CDMA systems; Gaussian processes; digital communications; multiuser detection; nonlinear MMSE; nonlinear regression functions; Biological neural networks; Communication systems; Covariance matrix; Digital communication; Gaussian processes; Maximum likelihood detection; Maximum likelihood estimation; Multiaccess communication; Multiuser detection; Support vector machines;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on
Conference_Location :
Toulouse
Print_ISBN :
1-4244-0469-X
DOI :
10.1109/ICASSP.2006.1661392
