A Numerical Study of ICA for Separating Monopole, Dipole, and Quadrupole Acoustic Sources
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Abstract
This paper presents a simulation-based study on the application of Independent Component Analysis (ICA) for separating idealized acoustic sources modeled as monopoles, dipoles, and quadrupoles. The work focuses on evaluating ICA performance in controlled synthetic configurations rather than experimental or real-world scenarios. Analytical models are used to generate pressure and particle-velocity fields for different multipole arrangements, which serve as input signals to the FastICA algorithm. Simulations include dipole cases (in-phase and anti-phase) and quadrupole configurations (lateral and longitudinal). Results show that ICA can recover the temporal structure and frequency content of the sources, despite the inherent amplitude-scaling ambiguities of the method. This study provides a preliminary assessment of ICA’s capabilities in simplified acoustic environments and highlights its potential for future applications in noise analysis and source separation.
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