Non-Linear Weighting Function for Non-Stationary Signal Denoising

Author

Abda, Farés ; Brie, David ; Ranta, Radu

Author_Institution

CRAN UMR, Vandoeuvre-les-Nancy

Volume

3

fYear

2006

fDate

14-19 May 2006

Abstract

We propose in this paper a new strategy for non-stationary signals denoising based on designing a time-varying filter adapted 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

Keywords

Fourier transforms; nonlinear functions; signal denoising; speech processing; time-varying filters; nonlinear weighting function; nonstationary signal denoising; short time Fourier transform; signal short term spectral amplitude; signal short term spectral characteristics; speech signals; time-varying filter; Additive noise; Amplitude estimation; Fourier transforms; Frequency estimation; Noise reduction; Phase estimation; Signal analysis; Signal denoising; Signal processing; Signal synthesis;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on

Conference_Location

Toulouse

ISSN

1520-6149

Print_ISBN

1-4244-0469-X

Type

conf

DOI

10.1109/ICASSP.2006.1660692

Filename

1660692