Vibration signals denoising using minimum description length principle for detecting impulsive signatures
Yanxue Wang, Jiawei Xiang, Zhansi Jiang, Yang Lianfa, Zhengjia He · Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science · 2013
Vibration signals are usually affected by noise, which is in turn related to the measurement and data processing procedures. This paper presents a new subband adaptive denoising method for detective impulsive signatures based on minimum description length principle with improved normalized maximum likelihood density model. The threshold of the proposed denoising method is determined automatically without the need to estimate the noise variance. The effectiveness of the proposed denoising method over VisuaShrink, BayesShrink and minimum description length denoising methods are given through simulation and practical applications.