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關注:1
2013-05-23 12:21
求翻譯:對于消噪之后的信號,分別使用AR模型的功率譜估計、小波包分解系數和子帶能量、CSP共同空間算法三種特征提取方式進行特征值提取,同時將三種特征值分別代入到SVM分類器中進行訓練,得到CSP算法提取到的特征值的識別準確率要高于其余兩種是什么意思?![]() ![]() 對于消噪之后的信號,分別使用AR模型的功率譜估計、小波包分解系數和子帶能量、CSP共同空間算法三種特征提取方式進行特征值提取,同時將三種特征值分別代入到SVM分類器中進行訓練,得到CSP算法提取到的特征值的識別準確率要高于其余兩種
問題補充: |
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2013-05-23 12:21:38
Signal after denoising, respectively, using the ar model power spectrum estimation, wavelet packet decomposition coefficients and sub-band energy of the three feature extraction csp common space algorithm for eigenvalue extraction, the three eigenvalues ??substitution to the svm classifier in traini
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2013-05-23 12:23:18
For the noise of the signal, respectively, after using AR model of the power spectrum estimation, wavelet packet decomposition coefficients and with energy, CSP Common Space such a feature extraction algorithm 3 way feature Value Extraction, while the 3 characteristics of Generation values, respecti
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2013-05-23 12:24:58
After the denoising signal, uses the AR model the power spectrum to estimate separately, the small wave packet resolution ratio and the innertube energy, the CSP common space algorithm three characteristic extraction way carries on the characteristic value extraction, simultaneously substitutes thre
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2013-05-23 12:26:38
After the noise signal, respectively, using the power of AR model spectral estimation, coefficients and Wavelet packet Decomposition algorithm for subband energy, CSP common space feature extraction of three kinds of methods for extraction of characteristic values, while three characteristic values
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2013-05-23 12:28:18
正在翻譯,請等待...
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