Title :
Noise suppression using a wavelet model
Author :
Teolis, A. ; Benedetto, J.J.
Author_Institution :
Inst. for Syst. Res., Maryland Univ., College Park, MD, USA
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1994. ICASSP-94., 1994 IEEE International Conference on
Conference_Location :
Adelaide, SA
Print_ISBN :
0-7803-1775-0
DOI :
10.1109/ICASSP.1994.389366
