{"title":"一种估计校验称重系统输入的自适应反卷积方法","authors":"M. Halimic, W. Balachandran, F. Cecelja, M. Tariq","doi":"10.1109/IMTC.2003.1207923","DOIUrl":null,"url":null,"abstract":"In this paper, we present the application of an adaptive deconvolution filter to suppress noise within the bandwidth of the desired signal with the particular aim to improve the accuracy of dynamic weighing. The obtained results showed a significant improvement in both the accuracy, but also the throughput rate of a dynamic checkweigher.","PeriodicalId":135321,"journal":{"name":"Proceedings of the 20th IEEE Instrumentation Technology Conference (Cat. No.03CH37412)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Adaptive deconvolution approach for estimating the input of checkweighing systems\",\"authors\":\"M. Halimic, W. Balachandran, F. Cecelja, M. Tariq\",\"doi\":\"10.1109/IMTC.2003.1207923\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we present the application of an adaptive deconvolution filter to suppress noise within the bandwidth of the desired signal with the particular aim to improve the accuracy of dynamic weighing. The obtained results showed a significant improvement in both the accuracy, but also the throughput rate of a dynamic checkweigher.\",\"PeriodicalId\":135321,\"journal\":{\"name\":\"Proceedings of the 20th IEEE Instrumentation Technology Conference (Cat. No.03CH37412)\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-05-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 20th IEEE Instrumentation Technology Conference (Cat. No.03CH37412)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IMTC.2003.1207923\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 20th IEEE Instrumentation Technology Conference (Cat. No.03CH37412)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IMTC.2003.1207923","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Adaptive deconvolution approach for estimating the input of checkweighing systems
In this paper, we present the application of an adaptive deconvolution filter to suppress noise within the bandwidth of the desired signal with the particular aim to improve the accuracy of dynamic weighing. The obtained results showed a significant improvement in both the accuracy, but also the throughput rate of a dynamic checkweigher.