{"title":"电性找矿系统干扰的相关性分析","authors":"A. A. Murasev, J. Petrova, A. Spector","doi":"10.1109/APEIE.2014.7040832","DOIUrl":null,"url":null,"abstract":"This article is about the interference elimination in the electrical minerals prospecting system. The authors describe a new method of obtaining a mathematical model of the slow interference. This model is derived by using Yule-Walker linear prediction method of 8th order. Graphs are drawn for each stage of the algorithm: the plot of the signal in a rare time, the plot of the interpolated signal, linear prediction coefficients were found and the plot of the autocorrelation function of Yule-Walker linear prediction method were drawn. The experiment showed that this way of presenting the slow interference gives more accurate estimates of the autocorrelation function than previously used multivariate Gaussian distribution. The algorithm discussed in this paper will be used for filtering the received signal and reduction of the slow interference impact.","PeriodicalId":202524,"journal":{"name":"2014 12th International Conference on Actual Problems of Electronics Instrument Engineering (APEIE)","volume":"115 ","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Correlation analysis of interference in the electrical minerals prospecting system\",\"authors\":\"A. A. Murasev, J. Petrova, A. Spector\",\"doi\":\"10.1109/APEIE.2014.7040832\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article is about the interference elimination in the electrical minerals prospecting system. The authors describe a new method of obtaining a mathematical model of the slow interference. This model is derived by using Yule-Walker linear prediction method of 8th order. Graphs are drawn for each stage of the algorithm: the plot of the signal in a rare time, the plot of the interpolated signal, linear prediction coefficients were found and the plot of the autocorrelation function of Yule-Walker linear prediction method were drawn. The experiment showed that this way of presenting the slow interference gives more accurate estimates of the autocorrelation function than previously used multivariate Gaussian distribution. The algorithm discussed in this paper will be used for filtering the received signal and reduction of the slow interference impact.\",\"PeriodicalId\":202524,\"journal\":{\"name\":\"2014 12th International Conference on Actual Problems of Electronics Instrument Engineering (APEIE)\",\"volume\":\"115 \",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 12th International Conference on Actual Problems of Electronics Instrument Engineering (APEIE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/APEIE.2014.7040832\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 12th International Conference on Actual Problems of Electronics Instrument Engineering (APEIE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APEIE.2014.7040832","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Correlation analysis of interference in the electrical minerals prospecting system
This article is about the interference elimination in the electrical minerals prospecting system. The authors describe a new method of obtaining a mathematical model of the slow interference. This model is derived by using Yule-Walker linear prediction method of 8th order. Graphs are drawn for each stage of the algorithm: the plot of the signal in a rare time, the plot of the interpolated signal, linear prediction coefficients were found and the plot of the autocorrelation function of Yule-Walker linear prediction method were drawn. The experiment showed that this way of presenting the slow interference gives more accurate estimates of the autocorrelation function than previously used multivariate Gaussian distribution. The algorithm discussed in this paper will be used for filtering the received signal and reduction of the slow interference impact.