130 citations · 385 across the 14 of their papers we have counts for
3 papers · 1 filter
Complex-Valued Gaussian Processes for Regression
Rafael Boloix-Tortosa, Eva Arias-de-Reyna, F. Javier Payan-Somet +1
In this paper we propose a novel Bayesian solution for nonlinear regression in complex fields. Previous solutions for kernels methods usually assume a complexification approach, wh…
Proper Complex Gaussian Processes for Regression
Rafael Boloix-Tortosa, F. Javier Payán-Somet, Eva Arias-de-Reyna +1
Complex-valued signals are used in the modeling of many systems in engineering and science, hence being of fundamental interest. Often, random complex-valued signals are considered…
Gaussian Processes for Nonlinear Signal Processing
Fernando Pérez-Cruz, Steven Van Vaerenbergh, Juan José Murillo-Fuentes +2
Gaussian processes (GPs) are versatile tools that have been successfully employed to solve nonlinear estimation problems in machine learning, but that are rarely used in signal pro…