{"title":"自适应滤波器在存档留声机录音恢复中的新应用","authors":"S. Vaseghi, P. Rayner","doi":"10.1109/ICASSP.1988.197163","DOIUrl":null,"url":null,"abstract":"The authors present a method for restoration of archived gramophone recordings for the case in which more than one copy of a record is available. Often, played-back signals are not in synchronism. Synchronization of two sampled waveforms usually requires that one of the signals be interpolated. An adaptive FIR (finite-impulse response) interpolator based on the least-square error criterion is used to synchronize the signals. Analysis of the interpolator shows that in addition to interpolation significant noise rejection is achieved at its output. Since least-squares filters are sensitive to outliers it is necessary to filter out relatively large impulsive disturbances prior to adaptive filtering. The authors present a detection-estimation algorithm for impulsive noise removal.<<ETX>>","PeriodicalId":448544,"journal":{"name":"ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1988-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"24","resultStr":"{\"title\":\"A new application of adaptive filters for restoration of archived gramophone recordings\",\"authors\":\"S. Vaseghi, P. Rayner\",\"doi\":\"10.1109/ICASSP.1988.197163\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The authors present a method for restoration of archived gramophone recordings for the case in which more than one copy of a record is available. Often, played-back signals are not in synchronism. Synchronization of two sampled waveforms usually requires that one of the signals be interpolated. An adaptive FIR (finite-impulse response) interpolator based on the least-square error criterion is used to synchronize the signals. Analysis of the interpolator shows that in addition to interpolation significant noise rejection is achieved at its output. Since least-squares filters are sensitive to outliers it is necessary to filter out relatively large impulsive disturbances prior to adaptive filtering. The authors present a detection-estimation algorithm for impulsive noise removal.<<ETX>>\",\"PeriodicalId\":448544,\"journal\":{\"name\":\"ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing\",\"volume\":\"34 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1988-04-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"24\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICASSP.1988.197163\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICASSP.1988.197163","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A new application of adaptive filters for restoration of archived gramophone recordings
The authors present a method for restoration of archived gramophone recordings for the case in which more than one copy of a record is available. Often, played-back signals are not in synchronism. Synchronization of two sampled waveforms usually requires that one of the signals be interpolated. An adaptive FIR (finite-impulse response) interpolator based on the least-square error criterion is used to synchronize the signals. Analysis of the interpolator shows that in addition to interpolation significant noise rejection is achieved at its output. Since least-squares filters are sensitive to outliers it is necessary to filter out relatively large impulsive disturbances prior to adaptive filtering. The authors present a detection-estimation algorithm for impulsive noise removal.<>