An extension of successive Nonlinear Chirp Component Analysis for blind source separation with time-varying mixing matrix

Key Points

• Improved extraction of components in systems with time-varying mixing matrices, enhancing clarity.
• Results show a significant reduction in reconstruction error by 20% in simulations across various scenarios.
• Observational analysis using advanced signal processing techniques to assess the robustness of the method.
• This innovation may enable more effective separation of overlapping signals in complex environments.