Este es un listado de las publicaciones que he realizado, o en las cuales he participado
This study aims to enhance the efficiency of Visible Light Communication (VLC) channels and contribute to the reduction of carbon emissions in underground communications by leveraging Polar Codes and Multiresolution Analysis (MRA). It uses a specific configuration of frozen bits for the implementation of Polar codes. Additionally, it integrates the Daubechies Wavelet family with a five-level decomposition into the MRA filters. The effectiveness of these methodologies is evaluated separately, without incorporating additional techniques into the communication channel. The results depicted a significant improvement, around of 19 dB in channel performance. This represent a considerable reduction in carbon emissions in a underground copper production context.
This work proposes a model for inertia identification of an electrical power system. A non-linear regression is used from a mathematical model that relates power and frequency variation, obtained from a synchrophasor network. Fitting of the non-linear regressions processed with Big Data, from the PMU and the different real generation contingencies, obtained from the national system operator, are presented.
In this paper we will present a new method based on the non-symmetry of the wavelength distributions of exoplanet transits. By the clustering of wavelengths with similar behaviour, it is possible to cancel terrestrial atmospheric turbulence at ground-based observatories. Two types of benchmarks for training the NARX neural network are presented. Complexity and performance studies using transient spectroscopy data from the WASP-19b system are also included.
This paper presents a methodology for the generation of detection and classification models of light emitters in digital video frames for indoor and outdoor visible light communication applications, including the generation of a user interface for the generation of Datasets of light emitter characteristics. Showing that is possible to analyze the frames of video by applying a classification model, allowing the development of new models to decrease the processing time per frame.
- Noise reduction in a high power VLC signal with an hysteresis band control loop for M-FSK modulation
In this work, we propose the application of Multiresolution Analysis (MRA) for reducing the noise in the signal generated by the FSK (Frequency Shift Keying) modulation used transmitting information through a VLC (Visible Light Communication) channel. In order to apply MRA, the Wavelets of Daubechies and Symlet are used. The effectiveness of this technique depends on the choice of the Wavelet, the decomposition levels of the signal to be analyzed and the threshold level used to eliminate the noise of the detail part. Finally, there is a significant noise reduction in the analyzed signal. To measure this reduction, we use the Mean Square Error (RMS).
The localization of people has been problem widely studied with several communication technologies such as RFID and WiFi. However, the particular behavior of systems based on Visible Light Communication (VLC) needs an adjustment or proposition of new forms of localization, considering the features of the system such as the range of transmission and covering of the communication. This work proposes a covering algorithm for the localization of people using VLC, which was validated with a simulation, using as a case the communication in a tunnel. The proposed model solves the problem of assigning LEDs, using a Set Covering algorithm. Thus, it optimizes the capacity of the canal and complies with the restrictions of trilateration and efficiency.