{"title":"小波变换在光谱数据去噪中的应用","authors":"Yang Youliang, Guo Liwei, Liao Fei","doi":"10.1109/ICSSEM.2011.6081275","DOIUrl":null,"url":null,"abstract":"Wavelet transform is used in this paper to filter spectral data which is breakdown induced by laser. The principle of spectral data which is de-noised by wavelet transform is described. The data was collected by Omni-λ300 grating spectrometer of Zhuolihanguang, DB5 wavelet for spectral signal de-noising was used on Matlab7.0 and obtained a better effect, then the spectrum qualitative and quantitative analysis was established foundation.","PeriodicalId":406311,"journal":{"name":"2011 International Conference on System science, Engineering design and Manufacturing informatization","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Application of wavelet transform in spectral data de-noising\",\"authors\":\"Yang Youliang, Guo Liwei, Liao Fei\",\"doi\":\"10.1109/ICSSEM.2011.6081275\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Wavelet transform is used in this paper to filter spectral data which is breakdown induced by laser. The principle of spectral data which is de-noised by wavelet transform is described. The data was collected by Omni-λ300 grating spectrometer of Zhuolihanguang, DB5 wavelet for spectral signal de-noising was used on Matlab7.0 and obtained a better effect, then the spectrum qualitative and quantitative analysis was established foundation.\",\"PeriodicalId\":406311,\"journal\":{\"name\":\"2011 International Conference on System science, Engineering design and Manufacturing informatization\",\"volume\":\"7 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-11-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 International Conference on System science, Engineering design and Manufacturing informatization\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSSEM.2011.6081275\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 International Conference on System science, Engineering design and Manufacturing informatization","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSSEM.2011.6081275","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Application of wavelet transform in spectral data de-noising
Wavelet transform is used in this paper to filter spectral data which is breakdown induced by laser. The principle of spectral data which is de-noised by wavelet transform is described. The data was collected by Omni-λ300 grating spectrometer of Zhuolihanguang, DB5 wavelet for spectral signal de-noising was used on Matlab7.0 and obtained a better effect, then the spectrum qualitative and quantitative analysis was established foundation.