Fast Independent Component Analysis Denoising for Magnetotelluric Data Based on a Correlation Coefficient and Fast Iterative Shrinkage Threshold Algorithm.
Rui ZhouJiangtao HanTonglin LiZhenyu GuoPublished in: IEEE Trans. Geosci. Remote. Sens. (2022)
Keyphrases
- independent component analysis
- independent components
- correlation coefficient
- denoising
- signal processing
- convergence rate
- objective function
- factor analysis
- principal components
- image denoising
- independent subspace analysis
- natural gradient
- probabilistic model
- training data
- learning algorithm
- neural network
- support vector machine svm
- natural images
- principal component analysis
- gaussian noise
- mixing matrix