Acoustic–Seismic Mixed Feature Extraction Based on Wavelet Transform for Vehicle Classification in Wireless Sensor Networks

Acoustic–Seismic Mixed Feature Extraction Based on Wavelet Transform for Vehicle Classification in Wireless Sensor Networks

An acoustic–seismic mixed feature extraction method based on the wavelet coefficient energy ratio (WCER) of the target signal is proposed in this study for classifying vehicle targets in wireless sensor networks. The signal was decomposed into a set of wavelet coefficients using the &a...

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Bibliographic Details
Main Authors: Heng Zhang, Zhongming Pan, Wenna Zhang
Format: Article
Language:English
Published: MDPI AG 2018-06-01
Series:Sensors
Subjects:
feature extraction
wavelet coefficient energy ratio (WCER)
hierarchical clustering
vehicle classification
wireless sensor networks (WSNs)
Online Access:http://www.mdpi.com/1424-8220/18/6/1862

Internet

http://www.mdpi.com/1424-8220/18/6/1862

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