This study delineates the application of the Wavelet transform technique for the filtration of noise within VOR system signals, thereby ensuring the fidelity of signals reflective of true conditions amidst environmental perturbations. The denoising methodology employs a spectrum of wavelet functions and thresholding strategies across assorted decomposition levels, as prescribed by the Wavelet Packet framework. Execution of this methodology is facilitated through MATLAB, utilizing.m files for coding and a graphical user interface for the efficacious visualization of outcomes.

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Wavelet-Based Noise Reduction in VOR Systems

  • Nhat Binh Le,
  • Van Nguyen Tran,
  • Xuan Kim Anh Cao

摘要

This study delineates the application of the Wavelet transform technique for the filtration of noise within VOR system signals, thereby ensuring the fidelity of signals reflective of true conditions amidst environmental perturbations. The denoising methodology employs a spectrum of wavelet functions and thresholding strategies across assorted decomposition levels, as prescribed by the Wavelet Packet framework. Execution of this methodology is facilitated through MATLAB, utilizing.m files for coding and a graphical user interface for the efficacious visualization of outcomes.