{"title":"用小波信号模型对噪声数据进行正则化外推","authors":"Li-Chien Lin, C.-C. Jay Kuo","doi":"10.1109/ICASSP.1995.480464","DOIUrl":null,"url":null,"abstract":"The bandlimited signal model has been widely used and bandlimited extrapolation has been extensively studied and applied in signal reconstruction. We examine a regularization technique for robust data extrapolation based on the wavelet representation. We first formulate the regularization problem and characterize the properties of its solution. Then, a practical iterative algorithm is proposed to achieve robust extrapolation.","PeriodicalId":300119,"journal":{"name":"1995 International Conference on Acoustics, Speech, and Signal Processing","volume":"60 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Regularized extrapolation of noisy data with a wavelet signal model\",\"authors\":\"Li-Chien Lin, C.-C. Jay Kuo\",\"doi\":\"10.1109/ICASSP.1995.480464\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The bandlimited signal model has been widely used and bandlimited extrapolation has been extensively studied and applied in signal reconstruction. We examine a regularization technique for robust data extrapolation based on the wavelet representation. We first formulate the regularization problem and characterize the properties of its solution. Then, a practical iterative algorithm is proposed to achieve robust extrapolation.\",\"PeriodicalId\":300119,\"journal\":{\"name\":\"1995 International Conference on Acoustics, Speech, and Signal Processing\",\"volume\":\"60 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1995-05-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1995 International Conference on Acoustics, Speech, and Signal Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICASSP.1995.480464\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1995 International Conference on Acoustics, Speech, and Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICASSP.1995.480464","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Regularized extrapolation of noisy data with a wavelet signal model
The bandlimited signal model has been widely used and bandlimited extrapolation has been extensively studied and applied in signal reconstruction. We examine a regularization technique for robust data extrapolation based on the wavelet representation. We first formulate the regularization problem and characterize the properties of its solution. Then, a practical iterative algorithm is proposed to achieve robust extrapolation.
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