{"title":"Application of dual shift invariant wavelet transform in blasting vibration signal denoising","authors":"Liang Mengdi, Zheng Wu, Xia Liangmeng","doi":"10.1109/ICACCS.2016.7586357","DOIUrl":null,"url":null,"abstract":"In this paper, it mainly introduces the study of wavelet analysis which is applied in the blasting vibration signal. Two methods, namely, decomposition and reconstruction of forcing denoising method and wavelet transform threshold denoising, are comparatively introduced in this paper. On the basis of two methods, a dual threshold shift invariant denoising method is proposed. Firstly, according to the specific circumstances, the layers of shift invariant are determined, and then the results after shift invariant should be de-noising with double threshold denoising method, finally, take the average of them, and fuse to get the final result. And it not only can remove the noise effectively, but also can save the detail information.","PeriodicalId":176803,"journal":{"name":"2016 3rd International Conference on Advanced Computing and Communication Systems (ICACCS)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 3rd International Conference on Advanced Computing and Communication Systems (ICACCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICACCS.2016.7586357","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In this paper, it mainly introduces the study of wavelet analysis which is applied in the blasting vibration signal. Two methods, namely, decomposition and reconstruction of forcing denoising method and wavelet transform threshold denoising, are comparatively introduced in this paper. On the basis of two methods, a dual threshold shift invariant denoising method is proposed. Firstly, according to the specific circumstances, the layers of shift invariant are determined, and then the results after shift invariant should be de-noising with double threshold denoising method, finally, take the average of them, and fuse to get the final result. And it not only can remove the noise effectively, but also can save the detail information.