Envelope Extraction Algorithm of the Vehicle Acoustic Signal Based on Step-Size Transformation
- DOI
- 10.2991/icmia-17.2017.64How to use a DOI?
- Keywords
- intelligent traffic detection; envelope extraction; feature parameter; step-size transformation
- Abstract
The waveform of acoustic signal when the vehicle passing the deceleration strip is obviously different from where it driving on the normal road, of which the characteristic parameters can be extracted and is essential to automatically identify the quantity, speed and type of the vehicle. Extracting the characteristic parameters of the acoustic signal envelope has many advantages over the original signal. Combined with the characteristic of the acoustic signal, an acoustic signal envelope extraction algorithm based on step-size transformation for the vehicle when passing the deceleration strip is proposed, which traversing the signal by setting different step-size and drawing curves with the maximum in every step-size to compare with the waveform of original signal so that the envelope can be extracted effectively on the basis of the error value of the contour clarity and feature point extraction. The experimental results show that the proposed algorithm has clearer envelope contour, fewer burrs and smaller error of the characteristic parameters extraction compared to that of the traditional under the same sampling points.
- Copyright
- © 2017, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Zhang-Li Lan AU - Fang Liu AU - Wei Chen AU - Yang Yang AU - Fen Huang PY - 2017/06 DA - 2017/06 TI - Envelope Extraction Algorithm of the Vehicle Acoustic Signal Based on Step-Size Transformation BT - Proceedings of the 2017 6th International Conference on Measurement, Instrumentation and Automation (ICMIA 2017) PB - Atlantis Press SP - 346 EP - 355 SN - 1951-6851 UR - https://doi.org/10.2991/icmia-17.2017.64 DO - 10.2991/icmia-17.2017.64 ID - Lan2017/06 ER -