{"title":"基于Kravchenko权函数的信号谱估计方法","authors":"I. I. Kosilina","doi":"10.1109/MSMW.2007.4294869","DOIUrl":null,"url":null,"abstract":"It is known that an important topic is an intagral part of all classical spectral estimation methods is that of windowing. Windowing is used to control the effect of sidelobes in these spectral estimators. These effect are discussed in this report. The Welch method for improvement digital signal processing in combination with weighting functions (windows) Kravchenko was used. So, numeral experiments present the effectiveness of a new class weighting function (windows).","PeriodicalId":235293,"journal":{"name":"2007 International Kharkov Symposium Physics and Engrg. of Millimeter and Sub-Millimeter Waves (MSMW)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"The Methods of Spectral Estimation of Signals Based on Kravchenko Weight Functions\",\"authors\":\"I. I. Kosilina\",\"doi\":\"10.1109/MSMW.2007.4294869\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"It is known that an important topic is an intagral part of all classical spectral estimation methods is that of windowing. Windowing is used to control the effect of sidelobes in these spectral estimators. These effect are discussed in this report. The Welch method for improvement digital signal processing in combination with weighting functions (windows) Kravchenko was used. So, numeral experiments present the effectiveness of a new class weighting function (windows).\",\"PeriodicalId\":235293,\"journal\":{\"name\":\"2007 International Kharkov Symposium Physics and Engrg. of Millimeter and Sub-Millimeter Waves (MSMW)\",\"volume\":\"39 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-06-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 International Kharkov Symposium Physics and Engrg. of Millimeter and Sub-Millimeter Waves (MSMW)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MSMW.2007.4294869\",\"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 International Kharkov Symposium Physics and Engrg. of Millimeter and Sub-Millimeter Waves (MSMW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MSMW.2007.4294869","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Methods of Spectral Estimation of Signals Based on Kravchenko Weight Functions
It is known that an important topic is an intagral part of all classical spectral estimation methods is that of windowing. Windowing is used to control the effect of sidelobes in these spectral estimators. These effect are discussed in this report. The Welch method for improvement digital signal processing in combination with weighting functions (windows) Kravchenko was used. So, numeral experiments present the effectiveness of a new class weighting function (windows).