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Wigner-ville Spectrum Estimation via Wavelet Soft-thresholding
| Content Provider | Semantic Scholar |
|---|---|
| Author | Richard Bamniuk |
| Copyright Year | 2004 |
| 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 t ime frequency resolution of the denoised distribution. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://dsp.rice.edu/sites/dsp.rice.edu/files/publications/conference-paper/1994/wignervill-ieeesp-1994.pdf |
| Alternate Webpage(s) | https://scholarship.rice.edu/bitstream/handle/1911/19694/Bar1994Oct5WignerVill.PDF;sequence=1 |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Modified Wigner distribution function Noise reduction Nonlinear system Smoothing (statistical technique) Soft error Spectral density estimation Thresholding (image processing) Wavelet |
| Content Type | Text |
| Resource Type | Article |
