From Source Separation to Commercial Microwave Links in Telecommunications: Overview of selected signal processing techniques and applications
Pr. Wendyam Serge Boris Ouedraogo,
Associate Professor at Ecole Polytechnique de Ouagadougou, Burkina Faso
The School of Applied and Engineering Physics Seminar Series will occur on Thursday, October 9th at 2:00 PM, at TC-G-02 (Teaching Center). We will welcome Pr. Wendyam Serge Boris Ouedraogo, Associate Professor at Ecole Polytechnique de Ouagadougou, Burkina Faso.
Abstract:
In this talk, two signal processing techniques and their applications will be presented. The first one deals with the problem of source separation. The situation of separating mixtures of several sources is encountered in many signal and image processing problems, such as the decomposition of signals measured by a spectrometer (mass spectra, Raman spectra, infrared spectra, etc.), the decomposition of images (medical, multispectral, hyperspectral, etc.), or the estimation of radionuclide activity. A temporal method for the separation of non-negative sources and a frequency method for the separation of moving acoustic sources are suggested. The proposed algorithms have been successfully evaluated on biomedical and underwater acoustic signals.
The second topic concerns precipitation monitoring and meteorological visibility estimation using commercial microwave links (CML) of telecommunications. On the one hand, since CML signals are attenuated by raindrop, making use of this attenuation is an innovative and inexpensive solution for monitoring precipitation in weakly instrumented countries. A system for recording and processing signals from CMLs is presented. It aims to estimate the amount of water that has fallen to the ground. On the other hand, accurate measurement of meteorological visibility is an important factor for road, maritime, rail, and air transport safety, particularly in weather conditions that reduce visibility. The application of machine learning methods to estimate meteorological visibility in the presence of dust, based on the power levels of commercial microwave links and meteorological data, including temperature, dew point, wind speed and direction, and atmospheric pressure will be also presented.
Biography:
Dr. Wendyam Serge Boris Ouedraogo obtained in 2009, following a double-degree program, a Master Degree in Information Processing from the National Engineering School of Tunis, Tunisia, and a Master degree in Mathematics and Computer Science from Paris Descartes University, Paris, France. In 2012, he earned a joint PhD Degree in Signal Processing & Telecommunications from the Grenoble Institute of Technology (Grenoble INP), France & the National Engineering School of Tunis, Tunisia. After working as a postdoctoral researcher at GIPSA-lab in Grenoble, France from 2013 to 2015, he joined Joseph KI-ZERBO University in Burkina Faso as Assistant Professor. Dr. Ouedraogo is currently Associate Professor at Ecole Polytechnique de Ouagadougou and permanent member of the Multidisciplinary Laboratory for Research in Engineering Science (LMRSI). His research focuses on statistical signal processing, with applications for rainfall monitoring and source separation. He is also interested in the automation of fault detection and location on electrical distribution networks, the evaluation of voice quality standards in the local languages of Burkina Faso, and the study of autonomous photovoltaic generators.
Localization: Teaching Center TCG-G-02 , 1st Floor.
Teams Link: School of Physics Seminar