Trainable pattern classifier using a computer-generated hologram

    Research output: Contribution to journalArticlepeer-review

    Abstract

    A novel technique for pattern classification is proposed and demonstrated. The perceptron learning algorithm is used for training, and the trained interconnection weight matrix is transferred into a computer-generated hologram. The hologram is used as a correlation filter in the optical system for pattern classification. Both computer simulation and optical experiment results are presented.

    Original languageEnglish
    Pages (from-to)1910-1913
    Number of pages4
    JournalJapanese Journal of Applied Physics
    Volume33
    Issue number4R
    DOIs
    Publication statusPublished - 1994 Apr

    ASJC Scopus subject areas

    • Engineering(all)
    • Physics and Astronomy(all)

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