{"title":"收缩阵列实现递归双谱估计","authors":"R. J. Perry, M. Amin","doi":"10.1109/HOST.1993.264590","DOIUrl":null,"url":null,"abstract":"Presents the systolic array implementation of recursive higher order spectrum in which the bispectrum estimate is updated every data sample. Forward and reverse sequence running Fourier transforms are first systolically realized. The results are then used to drive a second systolic array whose outputs represent the FT of the data third order moment. The proposed systolic array has no global communications with a number of PEs independent of the size of the employed two dimensional lag window.<<ETX>>","PeriodicalId":439030,"journal":{"name":"[1993 Proceedings] IEEE Signal Processing Workshop on Higher-Order Statistics","volume":"186 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1993-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Systolic array implementation of recursive bispectrum estimation\",\"authors\":\"R. J. Perry, M. Amin\",\"doi\":\"10.1109/HOST.1993.264590\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Presents the systolic array implementation of recursive higher order spectrum in which the bispectrum estimate is updated every data sample. Forward and reverse sequence running Fourier transforms are first systolically realized. The results are then used to drive a second systolic array whose outputs represent the FT of the data third order moment. The proposed systolic array has no global communications with a number of PEs independent of the size of the employed two dimensional lag window.<<ETX>>\",\"PeriodicalId\":439030,\"journal\":{\"name\":\"[1993 Proceedings] IEEE Signal Processing Workshop on Higher-Order Statistics\",\"volume\":\"186 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1993-06-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[1993 Proceedings] IEEE Signal Processing Workshop on Higher-Order Statistics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/HOST.1993.264590\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1993 Proceedings] IEEE Signal Processing Workshop on Higher-Order Statistics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HOST.1993.264590","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Systolic array implementation of recursive bispectrum estimation
Presents the systolic array implementation of recursive higher order spectrum in which the bispectrum estimate is updated every data sample. Forward and reverse sequence running Fourier transforms are first systolically realized. The results are then used to drive a second systolic array whose outputs represent the FT of the data third order moment. The proposed systolic array has no global communications with a number of PEs independent of the size of the employed two dimensional lag window.<>