Wavelet Soft-Thresholding of Time-Frequency Representations

The high noise sensitivity of the Wigner distribution makes smoothing a necessity for producing readable time-frequency images of noise corrupted signals. Since h e a r 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.

• Type: Conference
• Year: 1994
• Where: ICIP
• Authors: Richard G. Baraniuk
• Keywords: Considerable Noise Reduction, ICIP 1994, Image Processing, Noise Corrupted Signals, Smoothing Suppresses Noise