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Wigner-ville spectrum estimation.
| Content Provider | CiteSeerX |
|---|---|
| Author | Soft-Thresholding, Via Wavelet |
| 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 denois-ing techniques based on soft-thresholding in an orthonor-mal basis representation. Soft-thresholding provides consid-erable noise reduction without greatly impairing the time frequency resolution of the denoised distribution. 1. |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Consid-erable Noise Reduction High Noise Sensitivity Signal Component Readable Time-frequency Image Orthonor-mal Basis Representation Denoised Distribution Wigner Distribution Considerable Smearing Time Frequency Resolution Wigner-ville Spectrum Estimation |
| Content Type | Text |