Noise reduction combining microphones and piezoelectric devices

Mitsuharu Matsumoto, Shuji Hashimoto

    研究成果: Conference contribution

    5 引用 (Scopus)

    抜粋

    This paper describes noise reduction combining microphones and piezoelectric devices. The conventional microphone array has widely been utilized to realize a noise reduction and Direction of Arrival (DOA) estimation system. However, when the microphones are mounted to robot systems, the microphones are set extremely close to the robot. Then, the problem of internal noise from robots such as motors and gears arises. It is difficult to reduce the internal noise utilizing the conventional microphone array because the noise source is extremely close to the microphones. As the internal noise is not always stationary or sparse, we also can not employ useful blind source separation (BSS) approaches such as Independent Component Analysis (ICA) and sparseness approach. The aim of our research is to reduce the internal noise by utilizing the piezoelectric devices attached on the internal noise source. In this paper, we formulate the problem combining microphones and the piezoelectric devices and describe the proposed algorithm for noise reduction. Experimental results show that our proposed method can reduce the internal noise.

    元の言語English
    ホスト出版物のタイトル2008 3rd International Symposium on Communications, Control, and Signal Processing, ISCCSP 2008
    ページ368-371
    ページ数4
    DOI
    出版物ステータスPublished - 2008
    イベント2008 3rd International Symposium on Communications, Control, and Signal Processing, ISCCSP2008 - St. Julians
    継続期間: 2008 3 122008 3 14

    Other

    Other2008 3rd International Symposium on Communications, Control, and Signal Processing, ISCCSP2008
    St. Julians
    期間08/3/1208/3/14

    ASJC Scopus subject areas

    • Computational Theory and Mathematics
    • Signal Processing
    • Control and Systems Engineering

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  • これを引用

    Matsumoto, M., & Hashimoto, S. (2008). Noise reduction combining microphones and piezoelectric devices. : 2008 3rd International Symposium on Communications, Control, and Signal Processing, ISCCSP 2008 (pp. 368-371). [4537252] https://doi.org/10.1109/ISCCSP.2008.4537252