49 citations · 108 across the 4 of their papers we have counts for
4 papers
The Generalized Complex Kernel Least-Mean-Square Algorithm
Rafael Boloix-Tortosa, Juan José Murillo-Fuentes, Sotirios A. Tsaftaris
We propose a novel adaptive kernel based regression method for complex-valued signals: the generalized complex-valued kernel least-mean-square (gCKLMS). We borrow from the new resu…
Complex-Valued Kernel Methods for Regression
Rafael Boloix-Tortosa, Juan José Murillo-Fuentes, Irene Santos Velázquez +1
Usually, complex-valued RKHS are presented as an straightforward application of the real-valued case. In this paper we prove that this procedure yields a limited solution for regre…
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…