Signal processing system using a neural network for laser Doppler velocimetry

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

    Research output: Contribution to journalConference articlepeer-review

    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.

    Original languageEnglish
    Pages (from-to)1362-1363
    Number of pages2
    JournalAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
    Volume11 pt 4
    Publication statusPublished - 1989 Dec 1
    EventImages of the Twenty-First Century - Proceedings of the 11th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Part 2 - Seattle, WA, USA
    Duration: 1989 Nov 91989 Nov 12

    ASJC Scopus subject areas

    • Signal Processing
    • Biomedical Engineering
    • Computer Vision and Pattern Recognition
    • Health Informatics

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