{"title":"改进的图形干扰分析","authors":"D. V. Gonshor, J. Osburn","doi":"10.1109/ISEMC.1982.7567723","DOIUrl":null,"url":null,"abstract":"Well known techniques exist for graphically generating frequency domain characteristics of time domain interference signals, as well as coupling or transfer functions (field-to-wire, wire-to-wire, etc). The frequency domain interference source spectrum and transfer function are combined to produce a coupled interference spectrum. The. resulting coupled signal in the time domain is not as easy to determine without employing computer inverse Fourier transform codes. Simple graphical techniques for inverse transformations over-estimate the magnitude of the coupled signal, and reveal little about average coupled power, energy or waveforms. This paper will review a simple graphical inverse transformation technique, estimate the resulting error and identify new and more accurate graphical techniques using straightforward spectral analysis theorems. Review of a Simple Graphical Inverse Transformation","PeriodicalId":280076,"journal":{"name":"1982 IEEE International Symposium on Electromagnetic Compatibility","volume":" 15","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1982-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Improved Graphical Interference Analysis\",\"authors\":\"D. V. Gonshor, J. Osburn\",\"doi\":\"10.1109/ISEMC.1982.7567723\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Well known techniques exist for graphically generating frequency domain characteristics of time domain interference signals, as well as coupling or transfer functions (field-to-wire, wire-to-wire, etc). The frequency domain interference source spectrum and transfer function are combined to produce a coupled interference spectrum. The. resulting coupled signal in the time domain is not as easy to determine without employing computer inverse Fourier transform codes. Simple graphical techniques for inverse transformations over-estimate the magnitude of the coupled signal, and reveal little about average coupled power, energy or waveforms. This paper will review a simple graphical inverse transformation technique, estimate the resulting error and identify new and more accurate graphical techniques using straightforward spectral analysis theorems. Review of a Simple Graphical Inverse Transformation\",\"PeriodicalId\":280076,\"journal\":{\"name\":\"1982 IEEE International Symposium on Electromagnetic Compatibility\",\"volume\":\" 15\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1982-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1982 IEEE International Symposium on Electromagnetic Compatibility\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISEMC.1982.7567723\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1982 IEEE International Symposium on Electromagnetic Compatibility","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISEMC.1982.7567723","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Well known techniques exist for graphically generating frequency domain characteristics of time domain interference signals, as well as coupling or transfer functions (field-to-wire, wire-to-wire, etc). The frequency domain interference source spectrum and transfer function are combined to produce a coupled interference spectrum. The. resulting coupled signal in the time domain is not as easy to determine without employing computer inverse Fourier transform codes. Simple graphical techniques for inverse transformations over-estimate the magnitude of the coupled signal, and reveal little about average coupled power, energy or waveforms. This paper will review a simple graphical inverse transformation technique, estimate the resulting error and identify new and more accurate graphical techniques using straightforward spectral analysis theorems. Review of a Simple Graphical Inverse Transformation