Noise suppression using a wavelet model

Author

Teolis, A. ; Benedetto, J.J.

Author_Institution

Inst. for Syst. Res., Maryland Univ., College Park, MD, USA

Volume

i

fYear

1994

fDate

19-22 Apr 1994

Abstract

In this paper we present a method for suppressing noise in signals with a “coherent” time-frequency behavior. The method fundamentally incorporates a continuous wavelet transform followed by a (possibly signal dependent) irregular sampling of the time-scale plane. To suppress the noncoherent portion of a noisy signal the resulting irregular wavelet coefficients are then thresholded and presented to an iterative algorithm for reconstruction. This method is illustrated numerically on a signal with a coherent time-frequency structure

Keywords

interference suppression; iterative methods; noise; signal reconstruction; signal sampling; wavelet transforms; coherent time-frequency structure; continuous wavelet transform; irregular wavelet coefficients; iterative algorithm; noise suppression; noisy signal; signal reconstruction; signal sampling; time-scale plane; wavelet model; Continuous wavelet transforms; Educational institutions; Hilbert space; Lattices; Mathematics; Sampling methods; Signal analysis; Time frequency analysis; Wavelet analysis; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1994. ICASSP-94., 1994 IEEE International Conference on

Conference_Location

Adelaide, SA

ISSN

1520-6149

Print_ISBN

0-7803-1775-0

Type

conf

DOI

10.1109/ICASSP.1994.389366

Filename

389366