Implementación de un sistema de clasificación inteligente mediante la transformación Wavelets utilizados en modulaciones digitales.

Abstract

This document presents the subject of qualification called “Implementation of an intelligent classification system by means of the Wavelets transformation used in digital modulations” and this shows the knowledge acquired in the master's training. The project had complications at the beginning due to the ignorance of how to use the Wavelet transform method in MatLab, as well as the recognition of patterns on digital modulation schemes. These modulation schemes were approached without inconvenience, but the pattern recognition had to be performed, as well as the extraction of features using neural networks. Subsequently, the generation of the amplitude displacement modulations (ASK), frequency (FSK) and phase (PSK) is performed. The modulations analyzed for the intelligent classification were 8 – ASK, 8 – FSK, 8 – PSK and 8 – QASK, these characteristics are extracted using genetic algorithms and transformed wavelet. Finally, the discussion of the experimental results obtained is carried out.