基于LabVIEW的小波阈值融合算法去噪分析  

Research of a wavelet threshold multi-algorithm integrating denoising method based on LabVIEW

作　　者：李博[1] 吴伟[1] 周密 

机构地区：[1]西安石油大学机械工程学院,陕西西安710065 [2]陕西华达科技有限公司,陕西西安710065

出　　处：《西安石油大学学报（自然科学版）》2010年第2期76-80,共5页Journal of Xi’an Shiyou University（Natural Science Edition）

基　　金：陕西省教育厅自然科学研究项目"陕北油田油气长输管道泄漏研究"(编号:Z06020)

摘　　要：采用小波变换进行信号分解处理,通过分析阈值去噪所用的小波尺度及阈值选择法,提出选取BayesShrink自适应阈值估计,构建基于软、硬阈值折衷法和一种新阈值函数的多算法融合阈值处理方法.利用Matlab仿真实验分析该方法的可行性和有效性,在LabVIEW环境下进行实际工程信号的去噪测试.实例分析表明,该方法的主要优点在于它对随机强噪声的降噪效果明显.Wavelet transform is used to decompose source signal.It is suggested that the self-adapted threshold estimation based on Bayes Shrink should be used for establishing a modified threshold processing method based on soft and hard threshold compromise method and a new threshold function.The feasibility and the availability this method are verified by Matlab simulation experiments.The simulation results show that the denoising result of this multi-algorithm integrating threshold denoising method is better than those of hard threshold denoising method and soft threshold denoising method.The denoising processing of a practical signal is finished under LabVIEW by using the multi-algorithm integrating threshold denoising method,hard threshold denoising method and soft threshold denoising method separately.The results also show that the multi-algorithm integrating threshold denoising method has better denoising effect.

关 键 词：小波阈值去噪 算法融合 虚拟仪器 LABVIEW 

分 类 号：TP802.6[自动化与计算机技术—检测技术与自动化装置]