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, the author explores 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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    Title :

    Wavelet soft-thresholding of time-frequency representations


    Contributors:


    Publication date :

    1994-01-01


    Size :

    376522 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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