Signal processing system using a neural network for laser Doppler velocimetry

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

    研究成果: Conference article査読

    抄録

    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.

    本文言語English
    ページ(範囲)1362-1363
    ページ数2
    ジャーナルAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
    11 pt 4
    出版ステータスPublished - 1989 12月 1
    イベントImages 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
    継続期間: 1989 11月 91989 11月 12

    ASJC Scopus subject areas

    • 信号処理
    • 生体医工学
    • コンピュータ ビジョンおよびパターン認識
    • 健康情報学

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