{"title":"用于流速测量应用的随机数据相关器架构","authors":"A. Fuchs, H. Zangl, G. Brasseur, E. Petriu","doi":"10.1109/ROSE.2004.1317607","DOIUrl":null,"url":null,"abstract":"The paper discusses a parallel correlator architecture for the measurement of the flow velocity of powdery bulk solids in conveyor pipes. A robust random-data representation allows an efficient trade-off between the processing speed and the circuit complexity of the correlator architecture. This architecture has a high packing density and is well suited for modular very large-scale integration (VLSI).","PeriodicalId":142501,"journal":{"name":"International Workshop on Robot Sensing, 2004. ROSE 2004.","volume":"77 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Random-data correlator architecture for flow velocity measurement applications\",\"authors\":\"A. Fuchs, H. Zangl, G. Brasseur, E. Petriu\",\"doi\":\"10.1109/ROSE.2004.1317607\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper discusses a parallel correlator architecture for the measurement of the flow velocity of powdery bulk solids in conveyor pipes. A robust random-data representation allows an efficient trade-off between the processing speed and the circuit complexity of the correlator architecture. This architecture has a high packing density and is well suited for modular very large-scale integration (VLSI).\",\"PeriodicalId\":142501,\"journal\":{\"name\":\"International Workshop on Robot Sensing, 2004. ROSE 2004.\",\"volume\":\"77 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-05-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Workshop on Robot Sensing, 2004. ROSE 2004.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ROSE.2004.1317607\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Workshop on Robot Sensing, 2004. ROSE 2004.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ROSE.2004.1317607","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Random-data correlator architecture for flow velocity measurement applications
The paper discusses a parallel correlator architecture for the measurement of the flow velocity of powdery bulk solids in conveyor pipes. A robust random-data representation allows an efficient trade-off between the processing speed and the circuit complexity of the correlator architecture. This architecture has a high packing density and is well suited for modular very large-scale integration (VLSI).