Vehicle sound classification. Application and low pass filtering influence

Author

Ghiurcau, Marius Vasile ; Rusu, Corneliu

Author_Institution

Fac. of Electron., Telecommun. & Inf. Technol., Tech. Univ. of Cluj-Napoca, Cluj-Napoca, Romania

fYear

2009

fDate

9-10 July 2009

Firstpage

1

Lastpage

4

Abstract

The aim of this paper is to present a vehicle sound classification system, implemented on the Matlab platform. Then we focus on the results of the classification system when low pass filtering is performed. The system uses time encoded signal processing and recognition (TESPAR) method combined with the archetypes technique. For low pass filtering, different Butterworth low pass filters were implemented. The experimental results show the efficiency of the TESPAR method when dealing with vehicle sounds.

Keywords

Butterworth filters; acoustic signal processing; low-pass filters; vehicles; Butterworth filters; Matlab platform; TESPAR method; encoded signal processing and recognition; low-pass filtering; vehicle sound classification; Acoustic noise; Databases; Engines; Information filtering; Information filters; Low pass filters; Matrix converters; Noise generators; Signal processing algorithms; Vehicle detection;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Circuits and Systems, 2009. ISSCS 2009. International Symposium on

Conference_Location

Iasi

Print_ISBN

978-1-4244-3785-6

Electronic_ISBN

978-1-4244-3786-3

Type

conf

DOI

10.1109/ISSCS.2009.5206102

Filename

5206102