H. F. C-Greiff, R. R-Garcia and J. V. L-Ginori, “Signal Denoising in Magnetic Resonance Spectroscopy Using Wavelet Transforms,” Vol.14, No. 6, 2002, pp. 388-401.

has been cited by the following article:

• 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.