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Related Experiment Videos

Self spectrum window method in wigner-ville distribution.

Zhongguo Liu1, Changchun Liu, Boqiang Liu

  • 1School of Control Science and Engineering, Shandong University, Jinan, 250061, China.

Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference
|February 7, 2007
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The Self Spectrum Window (SSW) method effectively suppresses cross-term interference in Wigner-Ville Distribution (WVD) for biomedical signal analysis. This novel approach enhances time-frequency distribution accuracy by leveraging orthogonality properties.

Area of Science:

  • Biomedical Signal Processing
  • Time-Frequency Analysis
  • Digital Signal Processing

Background:

  • Wigner-Ville Distribution (WVD) is crucial for biomedical signal analysis.
  • Cross-term interference in WVD negatively impacts its applications.
  • Existing methods struggle to adequately suppress WVD cross-terms.

Purpose of the Study:

  • To introduce a novel method for suppressing cross-term interference in WVD.
  • To enhance the accuracy of time-frequency analysis in biomedical signals.
  • To improve the practical applicability of WVD in complex signal processing.

Main Methods:

  • Developed the Self Spectrum Window (SSW) method based on the orthogonality of WVD terms.
  • Utilized a real auto-WVD function as a template for cross-correlation.

Related Experiment Videos

  • Employed the Short Time Fourier Transform (STFT) spectrum as a window function in the time-frequency plane.

    • Main Results:

    • The SSW method successfully suppressed cross-term interference in WVD.
    • Computer simulations confirmed the effectiveness of the SSW algorithm.
    • Achieved satisfactory and accurate time-frequency distributions for analyzed signals.

    Conclusions:

    • The SSW method offers a significant improvement for WVD-based time-frequency analysis.
    • This technique effectively addresses the challenge of cross-term interference.
    • The SSW method provides a robust solution for biomedical signal processing applications.