{"title":"A fast recursive least-squares with a weighting factor based an a 2-D NSHP AR model and its application to spectral estimation","authors":"E. Horita, K. Nishikawa, Y. Miyanaga","doi":"10.1109/DSPWS.1996.555530","DOIUrl":null,"url":null,"abstract":"This paper proposes a fast RLS based on a two-dimensional AR model in order to estimate a power spectrum of signals about time and space. The proposed method introduces a non-symmetric half plane (NSHP) model and an exponential weighting factor about time. Moreover, the calculation cost of the conventional FRLS is reduced.","PeriodicalId":131323,"journal":{"name":"1996 IEEE Digital Signal Processing Workshop Proceedings","volume":"12 2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1996-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"1996 IEEE Digital Signal Processing Workshop Proceedings","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DSPWS.1996.555530","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper proposes a fast RLS based on a two-dimensional AR model in order to estimate a power spectrum of signals about time and space. The proposed method introduces a non-symmetric half plane (NSHP) model and an exponential weighting factor about time. Moreover, the calculation cost of the conventional FRLS is reduced.
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