{"title":"功率谱估计中波动信号的子带分解","authors":"J. Zajacek, L. Grmela","doi":"10.1109/WISP.2007.4447530","DOIUrl":null,"url":null,"abstract":"The noise spectroscopy is used to determinate quality and reliability of semiconductor materials. We have used the means of time-frequency analysis for processing of long time duration stochastic signal. Tree-structured FIR filter bank implemented in a recursive way for octave dividing frequency band was designed as full parallel computational algorithm for power spectral density estimation. In the very low frequency area we will obtain high resolution and low level variance of PSD.","PeriodicalId":164902,"journal":{"name":"2007 IEEE International Symposium on Intelligent Signal Processing","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Sub-Band decomposition of Fluctuated signals for the Estimation of Power Spectra\",\"authors\":\"J. Zajacek, L. Grmela\",\"doi\":\"10.1109/WISP.2007.4447530\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The noise spectroscopy is used to determinate quality and reliability of semiconductor materials. We have used the means of time-frequency analysis for processing of long time duration stochastic signal. Tree-structured FIR filter bank implemented in a recursive way for octave dividing frequency band was designed as full parallel computational algorithm for power spectral density estimation. In the very low frequency area we will obtain high resolution and low level variance of PSD.\",\"PeriodicalId\":164902,\"journal\":{\"name\":\"2007 IEEE International Symposium on Intelligent Signal Processing\",\"volume\":\"7 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 IEEE International Symposium on Intelligent Signal Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WISP.2007.4447530\",\"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 IEEE International Symposium on Intelligent Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WISP.2007.4447530","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Sub-Band decomposition of Fluctuated signals for the Estimation of Power Spectra
The noise spectroscopy is used to determinate quality and reliability of semiconductor materials. We have used the means of time-frequency analysis for processing of long time duration stochastic signal. Tree-structured FIR filter bank implemented in a recursive way for octave dividing frequency band was designed as full parallel computational algorithm for power spectral density estimation. In the very low frequency area we will obtain high resolution and low level variance of PSD.
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