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    請使用永久網址來引用或連結此文件: https://ir.lib.ncu.edu.tw/handle/987654321/105926


    題名: Two-stage signal restoration based on a modified median filter
    作者: 陳春樹;Chen, Chun-Shu;Chen, Kun-Cih
    貢獻者: 理學院統計研究所
    關鍵詞: Approximation;Computer simulation;covariance penalty;Data smoothing;effective degrees of freedom;Estimates;Estimators;Gaussian mixtures;generalized Stein'sunbiased risk estimator;Recovering;Restoration;Signaling;Simulation;Smoothing;smoothing splines;Splines
    日期: 2016-01-01
    上傳時間: 2026-04-23 13:01:10 (UTC+8)
    出版者: Taylor and Francis Ltd.;Abingdon: Taylor & Francis
    摘要: 摘要: Median filter is a robust technique for signal restoration when outliers occurred within observations. Moreover, smoothing splines is also an alternative method for recovering the underlying signals. Interestingly, we found that neither median filter nor smoothing splines dominates each other. To obtain a more robust signal estimate, a two-stage procedure for signal denoising is considered, in which the smoothing spline method is applied again to capture possible information within the differences of median filter and smoothing spline estimates. Then, according to an approximate estimator of -risk, a modified median filter method is proposed to estimate the underlying signals. Various comparisons are made via simulation studies to illustrate the superiority of the proposed method.
    出版者: Abingdon: Taylor & Francis
    出版日期: 2016-01-02
    出處: Journal of statistical computation and simulation, 2016-01, Vol.86 (1), p.122-134
    版權: 2015 Taylor & Francis 2015
    版權: Copyright Taylor & Francis Ltd. 2016
    識別號: ISSN: 0094-9655
    識別號: EISSN: 1563-5163
    識別號: DOI: 10.1080/00949655.2014.996152
    顯示於類別:[統計研究所] 期刊論文

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