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- W2357516826 abstract "In this paper we use the programing language of MATLAB as system designing tools, uniting the means of Wavelet and ANN to identify the SEMG signal. To identify the sEMG signal include three processes: preprocessing dates, charactering pick-up and classification. In the first using Wavelet to denoise and pick up the characters, then using BP NN to classify and identify, at last the result was analyzed and compared. The result indicate that the union of Wavelet and ANN is an effective mode to identify means of sEMG signal." @default.
- W2357516826 created "2016-06-24" @default.
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- W2357516826 date "2005-01-01" @default.
- W2357516826 modified "2023-09-24" @default.
- W2357516826 title "Uniting the means of wavelet and ANN to identify the sEMG signal" @default.
- W2357516826 hasPublicationYear "2005" @default.
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