An improvement of wavelet shrinkage denoising via wavelet coefficient transformation

WANG Hong-qiang;SHANG Chun-yang;GAO Rui-peng;LI Zi-nan

Journal of Vibration and Shock ›› 2011, Vol. 30 ›› Issue (10) : 165-168.

PDF(1178 KB)
PDF(1178 KB)
Journal of Vibration and Shock ›› 2011, Vol. 30 ›› Issue (10) : 165-168.
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An improvement of wavelet shrinkage denoising via wavelet coefficient transformation

  • WANG Hong-qiang; SHANG Chun-yang; GAO Rui-peng; LI Zi-nan
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Abstract

It is crucial to obtain an accurate threshold to distinguish the original signal from the noisy signal in wavelet shrinkage de-noising, an important de-noising algorithm. This paper proposes a new improvement method to the previous wavelet shrinkage schemes, that is, to transform the coefficients to enlarge the area where the original signal and the noise is close. The results of the simulation illustrate it brings improvement in the index of SNR, SME and visual effects. The experiments also demonstrate it could improve the effect of de-noising while reserve the details of the original signal.

Key words

signal processing / wavelet threshold / wavelet decomposition / wavelet coefficient transformation

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WANG Hong-qiang;SHANG Chun-yang;GAO Rui-peng;LI Zi-nan. An improvement of wavelet shrinkage denoising via wavelet coefficient transformation[J]. Journal of Vibration and Shock, 2011, 30(10): 165-168
PDF(1178 KB)

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