Signal processing system using a neural network for laser Doppler velocimetry

Author

Fukuoka, Y. ; Nakajyo, Y. ; Okada, E. ; Matsuki, H. ; Minamitani, H.

Author_Institution

Dept. of Electr. Eng., Keio Univ., Yokohama, Japan

fYear

1989

fDate

9-12 Nov 1989

Firstpage

1362

Abstract

A signal processing system using a neural network for the laser Doppler velocimetry is described. The proposed system is based on spectrum analysis using a fast Fourier transform and adaptive prediction using a neural network. The neural network learns fluctuation of the velocity using the backpropagation algorithm and predicts the velocity related to the Doppler frequency adaptively. Actual measurement on a rotating acrylic disk was carried out. An increase in the accuracy of the velocity measurement was obtained

Keywords

Doppler effect; laser velocimetry; neural nets; signal processing; adaptive prediction; backpropagation algorithm; fast Fourier transform; laser Doppler velocimetry; neural network; rotating acrylic disk; signal processing system; spectrum analysis; velocity measurement accuracy; Adaptive signal processing; Backpropagation algorithms; Fast Fourier transforms; Fluctuations; Frequency; Laser velocimetry; Neural networks; Rotation measurement; Signal processing; Signal processing algorithms;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1989. Images of the Twenty-First Century., Proceedings of the Annual International Conference of the IEEE Engineering in

Conference_Location

Seattle, WA

Type

conf

DOI

10.1109/IEMBS.1989.96241

Filename

96241