| Paper: | SPTM-P6.5 | ||
| Session: | Non-stationary Signals and Time-Frequency Analysis | ||
| Time: | Wednesday, May 17, 16:30 - 18:30 | ||
| Presentation: | Poster | ||
| Topic: | Signal Processing Theory and Methods: Non-stationary Signals and Time-Frequency Analysis | ||
| Title: | Non Linear Weighting Function for Non-Stationary Signal Denoising | ||
| Authors: | Farès Abda, David Brie, Radu Ranta, CRAN UMR 7039, France | ||
| Abstract: | We propose in this paper a new strategy for non-stationary signal denoising based on designing a time-varying filter ada-pted to the signal short term spectral characteristics. The basic idea leading us to use a new parametric nonlinear weighting of the measured signal short term spectral amplitude (STSA) is exposed. The overall system consists in combining the estimated STSA and the complex exponential of the noisy phase. The proposed technique results in a significant reduction of the noise for a variety of non-stationary signals including speech signals. | ||
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