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February 9, 2026Measurement and ControlOpen Access

Research on reconstruction and processing methods for complex acoustic signals

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Authors

XZXuewei ZhangCZChuang ZhangXSXiaojuan Sun

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Overview

This research demonstrates a novel denoising algorithm that enhances acoustic signal processing in noisy environments, improving accuracy for localization and assessment.

Key Points

  • The aim is to develop a new denoising algorithm to improve the accuracy of complex acoustic signal processing in noisy environments.
  • Proposed Improved Variational Mode Decomposition (IVMD)-Wavelet Reconstruction algorithm.
  • Utilized Singular Value Decomposition (SVD) for optimal intrinsic mode functions (IMFs) determination.
  • Employed correlation coefficient threshold for optimal IMF component selection.
  • Applied wavelet reconstruction for denoising noise-dominant components.
  • Achieved low Root Mean Square Error (RMSE) in denoised signals.
  • Increased Signal to Noise Ratio (SNR) by 28% compared to traditional methods.
  • Reduced Mean Square Error (MSE) by 52% highlighting the algorithm's effectiveness.

Cite This Study

Zhang et al. (2026) studied this question.

synapsesocial.com/papers/69897a86f0ec2af6756e8aeehttps://doi.org/10.1177/00202940261417218
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