Wigner-Ville Spectrum Estimation via Wavelet Soft-Thresholding
Date
1994-10-01
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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.
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Conference Paper
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Conference paper
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R. G. Baraniuk, "Wigner-Ville Spectrum Estimation via Wavelet Soft-Thresholding," 1994.