A Unifying Framework for Blind Source Separation Algorithms Based on Generalized Eigen-value Decomposition
Author:
Affiliation:
1. School of Artificial Intelligence, Nanjing University of Information Science and Technology, China
Funder
National Natural Science Foundation of China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3556384.3556404
Reference41 articles.
1. Underdetermined Blind Source Separation With Multi-Subspace for Nonlinear Representation
2. Remove Diverse Artifacts Simultaneously From a Single-Channel EEG Based on SSA and ICA: A Semi-Simulated Study
3. A New Constrained Spatiotemporal ICA Method Based on Multi-Objective Optimization for fMRI Data Analysis
4. Underdetermined Speech Blind Identification Based on Spectrum Correction and Phase Coherence Criterion
5. Novel Source Recovery Method of Underdetermined Time-Frequency Overlapped Signals Based on Submatrix Transformation and Multi-Source Point Compensation
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