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    National Tsing Hua University Institutional Repository > 電機資訊學院 > 電機工程學系 > 期刊論文 >  Multiscale Wiener filter for the restoration of fractal signals: wavelet filter bank approach


    Please use this identifier to cite or link to this item: http://nthur.lib.nthu.edu.tw/dspace/handle/987654321/12000


    Title: Multiscale Wiener filter for the restoration of fractal signals: wavelet filter bank approach
    Authors: Chen,Bor-Sen
    Lin,Chin-Wei
    教師: 陳博現
    Date: 1994
    Publisher: Institute of Electrical and Electronics Engineers Inc.
    Relation: IEEE TRANSACTIONS ON SIGNAL PROCESSING   Volume: 42   Issue: 11   Pages: 2972-2982   Published: NOV 1994
    Keywords: Electric filters
    Signal processing
    Fractals
    Signal theory
    Estimation
    Abstract: A filter bank design based on orthonormal wavelets and equipped with a multiscale Wiener filter is proposed in this paper for signal restoration of 1 / f family of fractal signals which are distorted by the transmission channel and corrupted by external noise. First, the fractal signal transmission process is transformed via the analysis filter bank into multiscale convolution subsystems in time-scale domain based on orthonormal wavelets. Some nonstationary properties, e.g., self-similarity, long-term dependency of fractal signals are attenuated in each subband by wavelet multiresolution decomposition so that the Wiener filter bank can be applied to estimate the multiscale input signals. Then the estimated multiscale input signals are synthesized to obtain the estimated input signal. Some simulation examples are given for testing the performance of the proposed algorithm. With this multiscale analysis/synthesis design via the technique of the wavelet filter bank, the multiscale Wiener filter can be applied to treat the signal restoration problem for nonstationary 1 / f fractal signals.
    URI: http://nthur.lib.nthu.edu.tw/handle/987654321/12000
    Appears in Collections:[電機工程學系] 期刊論文
    [通訊工程研究所] 期刊論文

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