{"title":"Time and lag window selection in Wigner-Ville distribution","authors":"M. Amin","doi":"10.1109/ICASSP.1987.1169465","DOIUrl":null,"url":null,"abstract":"The paper provides the conditions on the selection of the lap and the time windows in Wigner-Ville distribution when it is considered for time-varying power spectrum estimation. It is shown that the general class of non-stationary processes requires the inseparability of the two windows. The separation is adequate for a certain class of processes in which the autocorrelation is considered invariant along time intervals whose length is shorter for smaller lags. The paper presents a discussion which relates the time-averaging estimation of the autocorrelation function with the nature of its slow time-variation.","PeriodicalId":140810,"journal":{"name":"ICASSP '87. IEEE International Conference on Acoustics, Speech, and Signal Processing","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1987-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ICASSP '87. IEEE International Conference on Acoustics, Speech, and Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICASSP.1987.1169465","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 16
Abstract
The paper provides the conditions on the selection of the lap and the time windows in Wigner-Ville distribution when it is considered for time-varying power spectrum estimation. It is shown that the general class of non-stationary processes requires the inseparability of the two windows. The separation is adequate for a certain class of processes in which the autocorrelation is considered invariant along time intervals whose length is shorter for smaller lags. The paper presents a discussion which relates the time-averaging estimation of the autocorrelation function with the nature of its slow time-variation.