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- W2960390103 startingPage "012022" @default.
- W2960390103 abstract "For solving the difficulty of extracting the disturbing characteristics of the signals in power quality processing, and restraining the noise in the process of sampling, an improved extreme-value lifting morphological wavelet method is constructed. Firstly, morphological extreme-value operator is chosen to be the prediction operator and update operator, then the max-lifting and min-lifting morphological wavelets are constructed. Secondly, the improved extreme-value lifting morphological wavelet method is designed to further highlight local maxima and minima information of the disturbing signals based on the first step. Finally, the signals are dealt with this method, and the detail coefficients can be obtained, which have kept the disturbing characteristics of the signals. The result of simulation and analysis shows that this algorism owns the trait of simple, exactness, and de-noising." @default.
- W2960390103 created "2019-07-23" @default.
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- W2960390103 date "2019-07-10" @default.
- W2960390103 modified "2023-10-16" @default.
- W2960390103 title "The Inspection of Power Quality Disturbances by Using Improved Extreme-value Lifting Morphological Wavelet Method" @default.
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- W2960390103 doi "https://doi.org/10.1088/1757-899x/486/1/012022" @default.
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