Title :
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
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;
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
DOI :
10.1109/IEMBS.1989.96241
