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Updated: Dec 2, 2025

Infant Auditory Processing and Event-related Brain Oscillations
Published on: July 1, 2015
Reconstruction of nonstationary sound fields based on a time domain angular spectrum method
Xiao-Zheng Zhang1, Chuan-Xing Bi1, Yong-Bin Zhang1
1Institute of Sound and Vibration Research, Hefei University of Technology, 193 Tunxi Road, Hefei 230009, People's Republic of China.
This study introduces a novel time domain angular spectrum method for real-time reconstruction of nonstationary sound fields. The method offers stable and accurate sound field analysis using plane wave decomposition and Tikhonov regularization.
Area of Science:
- Acoustics
- Signal Processing
- Computational Physics
Background:
- Nonstationary sound fields pose challenges for traditional acoustic analysis.
- Accurate reconstruction of dynamic sound fields is crucial for applications in noise control and structural health monitoring.
Purpose of the Study:
- To develop a real-time method for reconstructing nonstationary sound fields.
- To provide a stable and accurate approach for analyzing time-varying acoustic phenomena.
Main Methods:
- A time domain angular spectrum method is proposed, expressing the sound field as a superposition of plane wave bases.
- The method utilizes an impulse response function incorporating propagating and evanescent waves.
- Discretization of time convolution and Tikhonov regularization enable step-by-step reconstruction.
Main Results:
- The proposed method allows for real-time reconstruction of nonstationary sound fields.
- Numerical simulations and experimental validation with unsteady and impacted plates demonstrate feasibility.
- The non-recursive nature ensures stable reconstruction, and Tikhonov regularization aids in accurate plane wave strength estimation.
Conclusions:
- The time domain angular spectrum method is effective for reconstructing nonstationary sound fields.
- The approach offers advantages in real-time analysis and stability compared to existing methods.
- Further investigation into numerical parameters can optimize reconstruction accuracy.
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