A Novel Blind Source Separation Method: Injecting Noise for ICA Component Stability Analysis

This paper introduces an innovative blind source separation technique that analyzes Independent Component Analysis (ICA) stability through controlled noise injection. The method effectively handles noisy environments and non-Gaussian signals while improving separation accuracy and robustness, with implementation insights including noise covariance optimization and stability metric calculations.