{"title":"数字信号处理中有效随机共振的采样频率和观测时间分析","authors":"Y. Tadokoro, A. Ichiki, M. Takanashi","doi":"10.1109/ICNF.2011.5994292","DOIUrl":null,"url":null,"abstract":"The noise-related phenomenon, stochastic resonance (SR), may improve the performance of signal detection devices. In digital signal processing, the effect of SR depends on the observation time and sampling frequency. To apply it to digital signal processing, these two parameters must be determined. This paper investigates the observation time and sampling frequency for efficient SR in a digital system.","PeriodicalId":137085,"journal":{"name":"2011 21st International Conference on Noise and Fluctuations","volume":"439 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A sampling frequency and observation time analysis for efficient stochastic resonance in digital signal processing\",\"authors\":\"Y. Tadokoro, A. Ichiki, M. Takanashi\",\"doi\":\"10.1109/ICNF.2011.5994292\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The noise-related phenomenon, stochastic resonance (SR), may improve the performance of signal detection devices. In digital signal processing, the effect of SR depends on the observation time and sampling frequency. To apply it to digital signal processing, these two parameters must be determined. This paper investigates the observation time and sampling frequency for efficient SR in a digital system.\",\"PeriodicalId\":137085,\"journal\":{\"name\":\"2011 21st International Conference on Noise and Fluctuations\",\"volume\":\"439 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-06-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 21st International Conference on Noise and Fluctuations\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICNF.2011.5994292\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 21st International Conference on Noise and Fluctuations","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICNF.2011.5994292","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A sampling frequency and observation time analysis for efficient stochastic resonance in digital signal processing
The noise-related phenomenon, stochastic resonance (SR), may improve the performance of signal detection devices. In digital signal processing, the effect of SR depends on the observation time and sampling frequency. To apply it to digital signal processing, these two parameters must be determined. This paper investigates the observation time and sampling frequency for efficient SR in a digital system.