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Volumn 28, Issue 8, 2008, Pages

Power quality signal denoising based on wavelet hybrid threshold method

Author keywords

Denoising; Gaussian white noise; Hybrid threshold; Power quality; Wavelet transform

Indexed keywords

NORMAL DISTRIBUTION; POWER QUALITY; SIGNAL PROCESSING; WHITE NOISE;

EID: 50049110222     PISSN: 10066047     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (18)

References (10)
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  • 3
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  • 4
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    • An improved method for white noise reduction based on wavelet transform
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  • 5
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    • Adaptive optimal threshold selection of wavelet-based threshold de-noising for on-line partial discharge monitoring
    • LI Jian, SUN Caixin, YANG Ji, et al. Adaptive optimal threshold selection of wavelet-based threshold de-noising for on-line partial discharge monitoring [J]. Power System Technology, 2006, 30 (8): 25-30.
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  • 6
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    • The application of de-noise based on compromise algorithm between soft-thresholding and hard-thresholding of wavelet coefficient for fault location
    • ZHOU Jing, CHEN Yunping, HOU Ce, et al. The application of de-noise based on compromise algorithm between soft-thresholding and hard-thresholding of wavelet coefficient for fault location [J]. Automation of Electric Power Systems, 2005, 29 (1): 65-68.
    • (2005) Automation of Electric Power Systems , vol.29 , Issue.1 , pp. 65-68
    • Zhou, J.1    Chen, Y.2    Hou, C.3
  • 7
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    • A new method for suppressing white noise in GIS PD monitoring by wavelet analysis
    • XU Gaofeng, SUN Caixin, TANG Ju, et al. A new method for suppressing white noise in GIS PD monitoring by wavelet analysis [J]. Transactions of China Electrotechnical Society, 2003, 18 (2): 87-90, 82.
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  • 9
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    • The determination of the threshold and the decomposition order in threshold de-noising method based on wavelet transform
    • ZHANG Jixian, ZHONG Qiuhai, DAI Yaping. The determination of the threshold and the decomposition order in threshold de-noising method based on wavelet transform [J]. Proceedings of the CSEE, 2004, 24 (2): 118-122.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.