Monitoring System of Environment Noise and Pattern Recognition

This paper presents an overview of the wireless monitoring system of environment noise, placed throughout Historical Centre of México City which represents an attractive technological innovation. It takes permanent measurements of noise levels and stream the data back to the main monitoring station every five minutes and the measurements of noise produced during the take-off in a location of the International Airport. The data acquisition is made at 25 KHz at 24 bits resolution. This work allows analyzing the urban noise level and its frequency range. Additionally, a computational model for aircraft recognition using take-off noise spectral features is analyzed based on other previous results. Eight aircraft categories with all signals acquired in real environments are used. The model has an identification level between 65 and 70% of success. These spectral features are used to allow comparison with other aircraft recognition methods using speech processing techniques in real environments. This system type helps to foresee potential effects to health of environment noise.