An Acoustic-Based Feature Extraction Method for the Classification of Moving Vehicles in the Wild

An Acoustic-Based Feature Extraction Method for the Classification of Moving Vehicles in the Wild

The acoustic classification technology of moving vehicles is a significant application in wireless sensor networks (WSNs). However, the wild environment makes it more intractable for the acoustic target classification owing to the complicated interference noise. The widely used mel-frequency cepstra...

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Bibliographic Details
Main Authors: Qin Zhao, Feng Guo, Xingshui Zu, Baoqing Li, Xiaobing Yuan
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Acoustic feature extraction
moving target classification
nonlinear function
mel-frequency cepstral coefficients
microphone array
Online Access:https://ieeexplore.ieee.org/document/8731954/

Internet

https://ieeexplore.ieee.org/document/8731954/

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