{"title":"Modeling arbitrary polynomial bispectra using systems with multiplicity in one- and two-dimensions","authors":"A. T. Erdem, A. Tekalp","doi":"10.1109/SPECT.1990.205574","DOIUrl":null,"url":null,"abstract":"Introduces a new class of systems, called systems with multiplicity (SWM), to model arbitrary polynomial bispectra. It is shown that an arbitrary polynomial bispectrum of a one-dimensional (1-D) process can always be modeled using an SWM with FIR components. Experimental results for the identification of SWM based on their output bispectra using a proposed method are then presented. In two-dimensions (2-D), it is shown that an arbitrary polynomial bispectrum cannot always be modeled using an SWM with 2-D FIR components, although a given SWM with 2-D FIR components can be identified using the bispectrum of its output.<<ETX>>","PeriodicalId":117661,"journal":{"name":"Fifth ASSP Workshop on Spectrum Estimation and Modeling","volume":"97 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fifth ASSP Workshop on Spectrum Estimation and Modeling","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPECT.1990.205574","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Introduces a new class of systems, called systems with multiplicity (SWM), to model arbitrary polynomial bispectra. It is shown that an arbitrary polynomial bispectrum of a one-dimensional (1-D) process can always be modeled using an SWM with FIR components. Experimental results for the identification of SWM based on their output bispectra using a proposed method are then presented. In two-dimensions (2-D), it is shown that an arbitrary polynomial bispectrum cannot always be modeled using an SWM with 2-D FIR components, although a given SWM with 2-D FIR components can be identified using the bispectrum of its output.<>