[PDF][PDF] Stationary wavelet-based two-directional two-dimensional principal component analysis for EMG signal classification
Discrete wavelet transform (WT) followed by principal component analysis (PCA) has been a
powerful approach for the analysis of biomedical signals. Wavelet coefficients at various …
powerful approach for the analysis of biomedical signals. Wavelet coefficients at various …
[引用][C] Stationary wavelet-based two-directional two-dimensional principal component analysis for EMG signal classification
Y Ji, S Sun, H Xie - Measurement Science Review, 2017 - eprints.qut.edu.au
Stationary wavelet-based two-directional two-dimensional principal component analysis for
EMG signal classification | QUT ePrints Queensland University of Technology, Brisbane …
EMG signal classification | QUT ePrints Queensland University of Technology, Brisbane …
Stationary Wavelet-based Two-directional Two-dimensional Principal Component Analysis for EMG Signal Classification
Y Ji, S Sun, HB Xie - Measurement Science Review, 2017 - ui.adsabs.harvard.edu
Discrete wavelet transform (WT) followed by principal component analysis (PCA) has been a
powerful approach for the analysis of biomedical signals. Wavelet coefficients at various …
powerful approach for the analysis of biomedical signals. Wavelet coefficients at various …
[PDF][PDF] Stationary Wavelet-based Two-directional Two-dimensional Principal Component Analysis for EMG Signal Classification
Y Ji, S Sun, HB Xie - MEASUREMENT SCIENCE REVIEW, 2017 - measurement.sk
Discrete wavelet transform (WT) followed by principal component analysis (PCA) has been a
powerful approach for the analysis of biomedical signals. Wavelet coefficients at various …
powerful approach for the analysis of biomedical signals. Wavelet coefficients at various …
Stationary Wavelet-based Two-directional Two-dimensional Principal Component Analysis for EMG Signal Classification
Y Ji, S Sun, HB Xie - Measurement Science Review, 2017 - cir.nii.ac.jp
抄録< jats: title> Abstract</jats: title>< jats: p> Discrete wavelet transform (WT) followed by
principal component analysis (PCA) has been a powerful approach for the analysis of …
principal component analysis (PCA) has been a powerful approach for the analysis of …
Stationary Wavelet-based Two-directional Two-dimensional Principal Component Analysis for EMG Signal Classification
Y Ji, S Sun, X Hong-Bo - Measurement Science Review, 2017 - search.proquest.com
Discrete wavelet transform (WT) followed by principal component analysis (PCA) has been a
powerful approach for the analysis of biomedical signals. Wavelet coefficients at various …
powerful approach for the analysis of biomedical signals. Wavelet coefficients at various …
[PDF][PDF] Stationary Wavelet-based Two-directional Two-dimensional Principal Component Analysis for EMG Signal Classification
Y Ji, S Sun, HB Xie - MEASUREMENT SCIENCE REVIEW, 2017 - measurement.sk
Discrete wavelet transform (WT) followed by principal component analysis (PCA) has been a
powerful approach for the analysis of biomedical signals. Wavelet coefficients at various …
powerful approach for the analysis of biomedical signals. Wavelet coefficients at various …
[引用][C] Stationary wavelet-based two-directional two-dimensional principal component analysis for EMG signal classification
Y Ji, S Sun, H Xie - Measurement Science Review, 2017 - eprints.qut.edu.au
Stationary wavelet-based two-directional two-dimensional principal component analysis for
EMG signal classification | QUT ePrints Queensland University of Technology, Brisbane …
EMG signal classification | QUT ePrints Queensland University of Technology, Brisbane …