A new feature extraction method based on autoregressive power spectrum for improving sEMG classification.
Jianwei LiuJiayuan HeXinjun ShengDingguo ZhangXiangyang ZhuPublished in: EMBC (2013)
Keyphrases
- autoregressive
- power spectrum
- feature vectors
- moving average
- frequency domain
- feature set
- machine learning
- natural images
- non stationary
- gaussian markov random field
- random fields
- power spectral
- unsupervised learning
- model selection
- feature extraction
- feature selection
- sar images
- density estimation
- multiresolution
- feature space