Title :
Method for identifying the environmental noise model for city traffic
Author :
Gergely, E.I. ; Costea, C.R. ; Coroiu, L. ; Husi, G. ; Silaghi, H.
Author_Institution :
Dept. of Control Syst. Eng. & Manage., Univ. of Oradea, Oradea, Romania
Abstract :
This paper presents a method for the estimation of city environmental noise. In this paper is applied the least square method to get the curve that approximates best the samples. Also, it is estimated the environmental noise model using the System Identification Tool from Matlab. The model structure is chosen, next parameters are estimated and then the model is validated.
Keywords :
environmental science computing; least squares approximations; noise (working environment); traffic; Matlab; city environmental noise estimation; city traffic; environmental noise model identification; least square method; system identification tool; Control systems; Data models; Least squares approximations; Mathematical model; Working environment noise; environmental noise; estimation model; least squares method; parametric models; regression polynomials;
Conference_Titel :
Engineering of Modern Electric Systems (EMES), 2015 13th International Conference on
Conference_Location :
Oradea
Print_ISBN :
978-1-4799-7649-2
DOI :
10.1109/EMES.2015.7158434
