{"title":"利用信号的能量谱参数模型评价伪随机信号与白噪声的差值","authors":"Z. Kolodiy, J. Z. Zvizlo","doi":"10.30970/jps.24.2003","DOIUrl":null,"url":null,"abstract":"signals explored. The power spectrum analysis of real pseudorandom signals by the value of the relaxation time tau makes it possible to hypothesize that every real system (cid:16)noise(cid:17) has its own colored noise in its own way. The coloring degree can be estimated by the tau parameter, which is individual for each system. If this hypothesis proves to be correct, then the system can be identi(cid:28)ed by a predestined relaxation time.","PeriodicalId":43482,"journal":{"name":"Journal of Physical Studies","volume":"6 1","pages":""},"PeriodicalIF":0.7000,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Evaluation of the difference of pseudorandom signal from white noise using a parameter of energy spectrum model of the signal\",\"authors\":\"Z. Kolodiy, J. Z. Zvizlo\",\"doi\":\"10.30970/jps.24.2003\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"signals explored. The power spectrum analysis of real pseudorandom signals by the value of the relaxation time tau makes it possible to hypothesize that every real system (cid:16)noise(cid:17) has its own colored noise in its own way. The coloring degree can be estimated by the tau parameter, which is individual for each system. If this hypothesis proves to be correct, then the system can be identi(cid:28)ed by a predestined relaxation time.\",\"PeriodicalId\":43482,\"journal\":{\"name\":\"Journal of Physical Studies\",\"volume\":\"6 1\",\"pages\":\"\"},\"PeriodicalIF\":0.7000,\"publicationDate\":\"2020-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Physical Studies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.30970/jps.24.2003\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"PHYSICS, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Physical Studies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.30970/jps.24.2003","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"PHYSICS, MULTIDISCIPLINARY","Score":null,"Total":0}
Evaluation of the difference of pseudorandom signal from white noise using a parameter of energy spectrum model of the signal
signals explored. The power spectrum analysis of real pseudorandom signals by the value of the relaxation time tau makes it possible to hypothesize that every real system (cid:16)noise(cid:17) has its own colored noise in its own way. The coloring degree can be estimated by the tau parameter, which is individual for each system. If this hypothesis proves to be correct, then the system can be identi(cid:28)ed by a predestined relaxation time.
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