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Related Experiment Video

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Infant Auditory Processing and Event-related Brain Oscillations

Infant Auditory Processing and Event-related Brain Oscillations

Published on: July 1, 2015

Application of robust principal component analysis for time domain source separation.

Mitchell J Swann¹, Adam S Nickels¹, Michael H Krane¹

¹The Pennsylvania State University, State College, Pennsylvania 16804, USA.

The Journal of the Acoustical Society of America

|October 29, 2025

Summary

Robust Principal Component Analysis (RPCA) effectively separates non-stationary, impulsive sound sources in microphone array data. This time-domain approach improves aeroacoustic V/E interaction analysis and parameter estimation.

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Area of Science:

Acoustics
Signal Processing
Fluid Dynamics

Background:

Aeroacoustic emissions from vortex ring and edge (V/E) interactions generate complex sound fields.
Non-stationary and impulsive sound features, like spherical pressure waves, challenge traditional frequency-domain source separation.
Accurate analysis of V/E interactions requires robust methods to isolate distinct acoustic sources.

Purpose of the Study:

To present a time-domain source separation method for microphone array signals.
To apply Robust Principal Component Analysis (RPCA) to separate aeroacoustic sources from V/E interactions.
To demonstrate RPCA's superiority over other methods for impulsive and non-stationary signals.

Main Methods:

Application of Robust Principal Component Analysis (RPCA) in the time domain.
Utilizing microphone array data from a V/E interaction experiment.
Comparison of RPCA with Principal Component Analysis (PCA) and other time-domain techniques.

Main Results:

RPCA successfully separated the impulsive pressure wave from the V/E interaction noise.
Accurate estimation of V/E source parameters was achieved, aligning well with theoretical predictions.
RPCA demonstrated superior performance compared to PCA, offering a data-driven approach with less user intervention.

Conclusions:

Time-domain RPCA is a powerful tool for separating non-stationary, impulsive sources in aeroacoustic measurements.
RPCA enables improved waveform time series analysis by including impulsive features, unlike prior windowing methods.
The method provides a more accurate and less intervention-dependent approach for V/E source parameter estimation.