Monitoring System of Environment Noise and Pattern Recognition

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 th...

A Statistical Pattern Recognition Framework for Noiserecognition in an Intelligent Noise Monitoring System

INTRODUCTION Actual noise monitoring systems have the shortcoming that although the intensity , duration, and time of occurrence of noises can be recorded, their source often cannot be identiied. Such information would be particularly useful when multiple noise sources are possible. This has led to research directed toward providing an \intelligent" noise monitoring system (Fig. 1) able to dist...

Pattern recognition in correlated and uncorrelated noise.

This study examined how correlated, or filtered, noise affected efficiency for recognizing two types of signal patterns, Gabor patches and three-dimensional objects. In general, compared with the ideal observer, human observers were most efficient at performing tasks in low-pass noise, followed by white noise; they were least efficient in high-pass noise. Simulations demonstrated that contrast-...

An Evaluation of Mahalanobis-Taguchi System and Neural Network for Multivariate Pattern Recognition

The Mahalanobis-Taguchi System is a diagnosis and predictive method for analyzing patterns in multivariate cases. The goal of this study is to compare the ability of the Mahalanobis- Taguchi System and a neural-network to discriminate using small data sets. We examine the discriminant ability as a function of data set size using an application area where reliable data is publicly available. The...

Immune Pattern Recognition System