CAJ | 학술논문

针对现有各种降噪方法存在的缺点，提出了一种改进标准化最大似然估计的最小描述长度降噪方法。该方法增加编码过程中对集合本身码长计算，降噪中自适应确定降噪阈值。通过仿真信号和实际某轴承故障信号降噪分析，结果表明所提方法可以有效消除噪声并尽可能保留有用信号成分，降噪后信号的信噪比高于 VisuShrink 降噪和BayesShrink降噪等方法。基于改进标准化最大似然估计的MDL降噪方法进一步完善了MDL降噪理论，提升了其降噪效果。
침대현유각충강조방법존재적결점，제출료일충개진표준화최대사연고계적최소묘술장도강조방법。해방법증가편마과정중대집합본신마장계산，강조중자괄응학정강조역치。통과방진신호화실제모축승고장신호강조분석，결과표명소제방법가이유효소제조성병진가능보류유용신호성분，강조후신호적신조비고우 VisuShrink 강조화BayesShrink강조등방법。기우개진표준화최대사연고계적MDL강조방법진일보완선료MDL강조이론，제승료기강조효과。
Aiming at defects of different denoising methods,a minimum description length (MDL ) denoising method based on improved normalized maximum likelihood (INML)was proposed.This method encodes the model class, adds to the original code length and adaptively defines the threshold in signal denoising.Numerical simulation signals and experimental signals of rolling element bearings were used to test and compare the performances of the proposed method with VisuShrink,BayesShrink and RNML etc.The results show that the INML-based noise cancellation method has more effective denoising performance and higher SNR.It can not only eliminate random noise,but also preserve interested components of signals.The INML method enriches the theory of MDL denoising and enhances its performance.