{"title":"若干FFT谱估计器的偏差和方差作为噪声类型和样本数量的函数","authors":"F. Walls, D. Percival, W. R. Irelan","doi":"10.1109/FREQ.1989.68887","DOIUrl":null,"url":null,"abstract":"The biases and the variances are theoretically and experimentally investigated of fast Fourier transform (FFT) spectral estimates with different windows (data tapers) when used to analyze power-law noise types f/sup 0/, f/sup -2/, f/sup -3/ and f/sup -4/. The experimental techniques introduced here permit one to analyze the performance of virtually any window for any power-law noise. This makes it possible to determine the level of a particular noise type to a specified statistical accuracy for a particular window.<<ETX>>","PeriodicalId":294361,"journal":{"name":"Proceedings of the 43rd Annual Symposium on Frequency Control","volume":"253 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1989-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"27","resultStr":"{\"title\":\"Biases and variances of several FFT spectral estimators as a function of noise type and number of samples\",\"authors\":\"F. Walls, D. Percival, W. R. Irelan\",\"doi\":\"10.1109/FREQ.1989.68887\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The biases and the variances are theoretically and experimentally investigated of fast Fourier transform (FFT) spectral estimates with different windows (data tapers) when used to analyze power-law noise types f/sup 0/, f/sup -2/, f/sup -3/ and f/sup -4/. The experimental techniques introduced here permit one to analyze the performance of virtually any window for any power-law noise. This makes it possible to determine the level of a particular noise type to a specified statistical accuracy for a particular window.<<ETX>>\",\"PeriodicalId\":294361,\"journal\":{\"name\":\"Proceedings of the 43rd Annual Symposium on Frequency Control\",\"volume\":\"253 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1989-05-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"27\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 43rd Annual Symposium on Frequency Control\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FREQ.1989.68887\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 43rd Annual Symposium on Frequency Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FREQ.1989.68887","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Biases and variances of several FFT spectral estimators as a function of noise type and number of samples
The biases and the variances are theoretically and experimentally investigated of fast Fourier transform (FFT) spectral estimates with different windows (data tapers) when used to analyze power-law noise types f/sup 0/, f/sup -2/, f/sup -3/ and f/sup -4/. The experimental techniques introduced here permit one to analyze the performance of virtually any window for any power-law noise. This makes it possible to determine the level of a particular noise type to a specified statistical accuracy for a particular window.<>
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
