Title :
Wigner-Ville spectrum estimation via wavelet soft-thresholding
Author :
Baraniuk, Richard G.
Author_Institution :
Dept. of Electr. & Comput. Eng., Rice Univ., Houston, TX, USA
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
Keywords :
Wigner distribution; image representation; image resolution; noise; smoothing methods; spectral analysis; time-frequency analysis; wavelet transforms; Wigner distribution; Wigner-Ville spectrum estimation; denoised distribution; high noise sensitivity; noise corrupted signals; noise reduction; nonlinear denoising techniques; orthonormal basis representation; signal components; time-frequency images; time-frequency resolution; wavelet soft-thresholding; Fourier transforms; Geophysics computing; Noise figure; Noise reduction; Signal resolution; Smoothing methods; Spectral analysis; Spectrogram; Testing; Time frequency analysis;
Conference_Titel :
Time-Frequency and Time-Scale Analysis, 1994., Proceedings of the IEEE-SP International Symposium on
Conference_Location :
Philadelphia, PA
Print_ISBN :
0-7803-2127-8
DOI :
10.1109/TFSA.1994.467316
