Blind Source Separation Algorithm Based on Natural Gradient

This self-developed blind source separation algorithm leverages natural gradient optimization. For foundational understanding of natural gradient methods, refer to Amari's seminal paper (easily searchable online). Key implementation aspects include gradient computation using the natural Riemannian metric and iterative updates through relative gradient descent for efficient convergence.