{"title":"基于事件的相互关联的可伸缩架构","authors":"J. Tapson, C. Jin, A. van Schaik","doi":"10.1109/BIOCAS.2007.4463314","DOIUrl":null,"url":null,"abstract":"We present an architecture for a bio-inspired circuit that implements a wide-range cross-correlation. The circuit implements a stochastic approximation to mathematical cross-correlation. The basic circuit element is a noise-driven oscillator consisting of an integrator, a Schmitt inverter, and a switch which switches between the two signals to be cross-correlated. These elements can be developed into an NxN array which extends the cross-correlation range and improves the speed and accuracy of the approximation.","PeriodicalId":273819,"journal":{"name":"2007 IEEE Biomedical Circuits and Systems Conference","volume":"9 3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"A Scalable Architecture for Event-Based Cross-Correlation\",\"authors\":\"J. Tapson, C. Jin, A. van Schaik\",\"doi\":\"10.1109/BIOCAS.2007.4463314\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present an architecture for a bio-inspired circuit that implements a wide-range cross-correlation. The circuit implements a stochastic approximation to mathematical cross-correlation. The basic circuit element is a noise-driven oscillator consisting of an integrator, a Schmitt inverter, and a switch which switches between the two signals to be cross-correlated. These elements can be developed into an NxN array which extends the cross-correlation range and improves the speed and accuracy of the approximation.\",\"PeriodicalId\":273819,\"journal\":{\"name\":\"2007 IEEE Biomedical Circuits and Systems Conference\",\"volume\":\"9 3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 IEEE Biomedical Circuits and Systems Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/BIOCAS.2007.4463314\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 IEEE Biomedical Circuits and Systems Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BIOCAS.2007.4463314","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Scalable Architecture for Event-Based Cross-Correlation
We present an architecture for a bio-inspired circuit that implements a wide-range cross-correlation. The circuit implements a stochastic approximation to mathematical cross-correlation. The basic circuit element is a noise-driven oscillator consisting of an integrator, a Schmitt inverter, and a switch which switches between the two signals to be cross-correlated. These elements can be developed into an NxN array which extends the cross-correlation range and improves the speed and accuracy of the approximation.
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