Name
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 |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/ICASSP.2006.1661392 | 2006 IEEE International Conference on Acoustics, Speech and Signal Processing, Vols 1-13 |
Keywords | Field | DocType |
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 | Nonlinear system,Computer science,Multiuser detection,Communications system,Artificial intelligence,Global Positioning System,Gaussian process,Mathematical optimization,Support vector machine,Algorithm,Nonlinear regression,Covariance matrix,Machine learning | Conference |
Volume | ISSN | ISBN |
5 | 1520-6149 | 1-4244-0469-X |
Citations | PageRank | References |
3 | 0.42 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fernando Pérez-Cruz | 1 | 749 | 61.24 |
| Juan José Murillo-Fuentes | 2 | 182 | 23.93 |
| Perez-Cruz, F. | 3 | 3 | 0.42 |
| Murillo-Fuentes, J.J. | 4 | 37 | 6.55 |