Improving two-dimensional linear discriminant analysis with L1 norm for optimizing EEG signal
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Publication:6645073
DOI10.1016/J.INS.2024.121585MaRDI QIDQ6645073
Rongrong Fu, Fuwang Wang, Junxiang Chen, Bin Lu, Guilin Wen
Publication date: 28 November 2024
Published in: Information Sciences (Search for Journal in Brave)
robustnessdimensionality reductionEEGL1-norm two-dimensional linear discriminant analysismotor imagery
Applications of statistics to biology and medical sciences; meta analysis (62P10) Biomedical imaging and signal processing (92C55)
Cites Work
- Robust L1-norm two-dimensional linear discriminant analysis
- Robust bilateral \(L_p\)-norm two-dimensional linear discriminant analysis
- Iterative gradient descent methods for solving linear equations
- Distance-based linear discriminant analysis for interval-valued data
- Discriminant Analysis via Joint Euler Transform and $\ell_{2,1}$ -Norm
- A Non-Greedy Algorithm for L1-Norm LDA
- Double \(\mathrm{L}_{2, \mathrm{p}}\)-norm based PCA for feature extraction
- EEG decoding method based on multi-feature information fusion for spinal cord injury
- Generalized two-dimensional linear discriminant analysis with regularization
- A joint-norm distance metric 2DPCA for robust dimensionality reduction
- Anti-disturbance state estimation for PDT-switched RDNNs utilizing time-sampling and space-splitting measurements
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