Local Mean Decomposition Combined with SVD and Application in Telemetry Vibration Signal Processing

摘要：

　　To suppress the noise effect on the performance of local mean decomposition (LMD) in signal processing,a new method combined with singular value decomposition (SVD) denosing was proposed in this work.SVD is applied to denoise the observed signal,and then the signal decompose to series product functions (PF) by LMD,meanwhile,SVD is applied to denoise the PF and sum the PF to LMD again.This method can suppress the noise effect to attain high precision PF for time-frequency analysis.Simulation signal and telemetry vibration signal processing results show the effectiveness of the method.

关键词： local mean decomposition SVD telemetry vibration signal processing denoising

作者: Zhenxing LI Weixiao DAI

作者单位: Unit 94 PLA 91550 Dalian,China

会议类型: 国际会议

会议名称: 2013 2nd International Conference on Computer Science and Electronics Engineering(ICCSEE2013)(2013年第二届计算机科学与电子工程国际会议)

会议地点: 杭州

会议语种:英文

页码: 2520-2524

在线出版日期: 2013-03-22（万方平台首次上网日期，不代表论文的发表时间）