{"title":"分布式数据采集应用的缺失样本预测技术","authors":"Seppo J. Ovaska","doi":"10.1016/0921-5956(92)80023-M","DOIUrl":null,"url":null,"abstract":"<div><p>A predictor-type transmission-error correction technique is presented for a plain communication protocol that is used in transferring discrete samples of a measurement signal from integrated data acquisition nodes to the intelligent main computer. The proposed lost-sample predictor is based on an FIR-type extrapolator with a narrow impulse response. Two alternative extrapolation principles are discussed with numerical examples.</p></div>","PeriodicalId":100666,"journal":{"name":"Industrial Metrology","volume":"2 2","pages":"Pages 97-105"},"PeriodicalIF":0.0000,"publicationDate":"1992-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/0921-5956(92)80023-M","citationCount":"0","resultStr":"{\"title\":\"Missing-sample predictiontechnique for distributed data acquisition applications\",\"authors\":\"Seppo J. Ovaska\",\"doi\":\"10.1016/0921-5956(92)80023-M\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>A predictor-type transmission-error correction technique is presented for a plain communication protocol that is used in transferring discrete samples of a measurement signal from integrated data acquisition nodes to the intelligent main computer. The proposed lost-sample predictor is based on an FIR-type extrapolator with a narrow impulse response. Two alternative extrapolation principles are discussed with numerical examples.</p></div>\",\"PeriodicalId\":100666,\"journal\":{\"name\":\"Industrial Metrology\",\"volume\":\"2 2\",\"pages\":\"Pages 97-105\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1992-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/0921-5956(92)80023-M\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Industrial Metrology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/092159569280023M\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Industrial Metrology","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/092159569280023M","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Missing-sample predictiontechnique for distributed data acquisition applications
A predictor-type transmission-error correction technique is presented for a plain communication protocol that is used in transferring discrete samples of a measurement signal from integrated data acquisition nodes to the intelligent main computer. The proposed lost-sample predictor is based on an FIR-type extrapolator with a narrow impulse response. Two alternative extrapolation principles are discussed with numerical examples.
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