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- W2014760818 abstract "In this paper, we proposed a novel filtering algorithm that using the Ricker wavelet kernel to reduce the noise. The algorithm based on Support vector machine (SVM) which is a machine learning method on the base of statistical learning theory. Those parameters of the new algorithm affect the rising edge, the band width and central frequency of passband. The experimental results of synthetic seismic data show that the filter with the Ricker wavelet kernel works better than other methods." @default.
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- W2014760818 date "2012-06-01" @default.
- W2014760818 modified "2023-09-27" @default.
- W2014760818 title "A Novel Filtering Algorithm Based on Least Square Support Vector" @default.
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- W2014760818 doi "https://doi.org/10.4028/www.scientific.net/amr.532-533.1732" @default.
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