Estimation of optimal parameter in ε-filter based on signal-noise decorrelation

Mitsuharu Matsumoto, Shuji Hashimoto

    研究成果: Article

    12 引用 (Scopus)

    抜粋

    ε-filter is a nonlinear filter for reducing noise and is applicable not only to speech signals but also to image signals. The filter design is simple and it can effectively reduce noise with an adequate filter parameter. This paper presents a method for estimating the optimal filter parameter of ε-filter based on signal-noise decorrelation and shows that it yields the optimal filter parameter concerning a wide range of noise levels. The proposed method is applicable where the noise to be removed is uncorrelated with signal, and it does not require any other knowledge such as noise variance and training data.

    元の言語English
    ページ(範囲)1312-1315
    ページ数4
    ジャーナルIEICE Transactions on Information and Systems
    E92-D
    発行部数6
    DOI
    出版物ステータスPublished - 2009

    ASJC Scopus subject areas

    • Electrical and Electronic Engineering
    • Software
    • Artificial Intelligence
    • Hardware and Architecture
    • Computer Vision and Pattern Recognition

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