Manuel Rodríguez-Álvarez

TL;DR: A novel customizable architecture of a neuromorphic robust optical flow (multichannel gradient model) based on reconfigurable hardware with the properties of the cortical motion pathway is presented, thus obtaining a useful framework for building future complex bioinspired real-time systems with high computational complexity.

TL;DR: A new method is proposed for the separation of mixed digital sources, based on geometrical considerations, which is applied to the separated of binary and n-valued sources.

TL;DR: A new adaptive procedure for the linear and nonlinear separation of signals with nonuniform, symmetrical probability distributions, based on both simulated annealing and competitive learning methods by means of a neural network, and using a multiple linearization in the mixture space is presented.

TL;DR: The authors propose the WR zynq embedded node (WR-ZEN) platform as a candidate for the SKA’s pulse per second (PPS) distribution system, a new design that integrates the WR technology, thus enabling the subnanosecond accuracy.

TL;DR: The proposed service consists in offering the performance of White Rabbit time transfer over commercial optical fiber networks, the accuracy of atomic clocks continuously compared to the legal time reference, and the resiliency of a client node with holdover capabilities better than 1.5 ms after 24 hours.