@inproceedings{40f6519f7ef2450b9053d549edf48757,
title = "Vehicle acoustic signal signature recognition based on Karhunen-Loeve transform",
abstract = "A method of vehicle acoustic signal signature recognition based on Karhunen-Loeve transform is proposed. First, the vehicle acoustic signal is preprocessed, and through Karhunen-Loeve transform, the signature of the signal is obtained, and the Eigen-vehicle is built. The sample to be recognized is projected onto the Eigen-vehicle subspace, and the distance between the sample signature and the Eigen-vehicle is calculated. This distance is then used as a basis for signature recognition. The experimental results revealed that the method presented in this paper for vehicle acoustic signal signature recognition is valid, and the recognition accuracy is 92.1 percent on average.",
keywords = "Acoustic techniques, Traffic signals, Vehicles",
author = "Zhenshan Li and Jianqun Wang and Xuejun Ran and Guozhong Yao",
year = "2010",
doi = "10.1061/41127(382)240",
language = "English",
isbn = "9780784411278",
series = "ICCTP 2010: Integrated Transportation Systems: Green, Intelligent, Reliable - Proceedings of the 10th International Conference of Chinese Transportation Professionals",
pages = "2239--2246",
booktitle = "ICCTP 2010",
note = "10th International Conference of Chinese Transportation Professionals - Integrated Transportation Systems: Green, Intelligent, Reliable, ICCTP 2010 ; Conference date: 04-08-2010 Through 08-08-2010",
}