DocumentCode :
2993562
Title :
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
Link To Document :
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