Using wavelet transform and neural network for solid velocity profiles

Xin-Jie Wu; Ju-Jang Lee; Gui-He Qin

doi:10.11499/sicep.2002.0.241.0

SICE Annual Conference 2002

DOI https://doi.org/10.11499/sicep.2002.0.241.0

Conference information

Host: The Society of Instrument and Control Engineers

Co-host: IEEE/Industiral Electronic Society, IEEE/Robotics and Automation Society, IEEE/Control System Society

Using wavelet transform and neural network for solid velocity profiles

Xin-Jie Wu, Ju-Jang Lee, Gui-He Qin

Author information

Keywords: Wavelet transform, velocity, neural network

CONFERENCE PROCEEDINGS FREE ACCESS

Pages 241

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Abstract

A measurement method of velocity profile is presented. The bandwidth of the filtering signal of sensor is difficult to be accurately obtained. To overcome the shortcoming, Wavelet transform is used to determine the bandwidth of the filtering signal. RBF neural network is employed to replace conventional image reconstruction algorithms, which has fast and accurate advantages. The simulation experimental results have shown that the velocity measurement method is reliable.

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