Wavelet soft-thresholding of time-frequency representations

Author

Baraniuk, Richad G.

Author_Institution

Dept. of Electr. & Comput. Eng., Rice Univ., Houston, TX, USA

Volume

1

fYear

1994

Firstpage

71

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, 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

Keywords

Wigner distribution; image representation; interference suppression; smoothing methods; time-frequency analysis; wavelet transforms; Wigner distribution; denoised distribution; linear smoothing; noise corrupted signals; noise reduction; noise sensitivity; nonlinear denoising techniques; orthonormal basis representation; smearing; smoothing; time-frequency images; time-frequency representations; time-frequency resolution; wavelet soft-thresholding; Fourier transforms; Geophysics computing; Kernel; Noise figure; Noise reduction; Signal resolution; Smoothing methods; Spectrogram; Testing; Time frequency analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference

Print_ISBN

0-8186-6952-7

Type

conf

DOI

10.1109/ICIP.1994.413277

Filename

413277