LWT Based Sensor Node Signal Processing in Vehicle Surveillance Distributed Sensor Network

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概要

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• Previous vehicle surveillance researches on distributed sensor network focused on overcoming power limitation and communication bandwidth constraints in sensor node. In spite of this constraints, vehicle surveillance sensor node must have signal compression, feature extraction, target localization, noise cancellation and collaborative signal processing with low computation and communication energy dissipation. In this paper, we introduce an algorithm for light-weight wireless sensor node signal processing based on lifting scheme wavelet analysis feature extraction in distributed sensor network.

• 2010-04-01

著者

• Hwang Chansik

  School Of Electrical Engineering And Computer Science Kyungpook National University

• CHA Daehyun

  School of Electrical Engineering and Computer Science, Kyungpook National University

• Cha Daehyun

  School Of Electrical Engineering And Computer Science Kyungpook National University

関連論文

• LWT Based Sensor Node Signal Processing in Vehicle Surveillance Distributed Sensor Network
• Underwater Transient Signal Classification Using Binary Pattern Image of MFCC and Neural Network

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