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Wigner-Ville Spectrum Estimation via Wavelet Soft-Thresholding

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Title: Wigner-Ville Spectrum Estimation via Wavelet Soft-Thresholding
Author: Baraniuk, Richard G.
Type: Conference Paper
Citation: R. G. Baraniuk,"Wigner-Ville Spectrum Estimation via Wavelet Soft-Thresholding," in IEEE-SP International Symposium on Time-frequency and Time-scale Analysis,, pp. 452-455.
Abstract: The high noise sensitivity of the Wigner distribution makes smoothing a necessity for producing readable time-frequency images of noise corrupted signals. Since linear smoothing suppresses noise at the expense of considerable smearing of the signal components, we explore two nonlinear denoising techniques based on soft-thresholding in an orthonormal basis representation. Soft-thresholding provides considerable noise reduction without greatly impairing the time-frequency resolution of the denoised distribution.
Date Published: 1994-10-01

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  • ECE Publications [1034 items]
    Publications by Rice University Electrical and Computer Engineering faculty and graduate students
  • DSP Publications [508 items]
    Publications by Rice Faculty and graduate students in digital signal processing.