TITLE:
Comparison of Wavelet Types and Thresholding Methods on Wavelet Based Denoising of Heart Sounds
AUTHORS:
Burhan Ergen
KEYWORDS:
Discrete Wavelet Transform; Denoising; PCG
JOURNAL NAME:
Journal of Signal and Information Processing,
Vol.4 No.3B,
October
17,
2013
ABSTRACT:
This paper focuses on the denoising of
phonocardiogram (PCG) signals by means of discrete wavelet transform (DWT)
using different wavelets and noise level estimation methods. The signal
obtained by denoising from PCG signal contaminated white noise and the original
PCG signal is compared to determine the appropriate parameters for denoising.
The comparison is evaluated in terms of signal to noise ratio (SNR) before and
after denoising. The results showed that the decomposition level is the most important
parameter determining the denoising quality.