基于二维NSHP AR模型的带加权因子的快速递归最小二乘及其在光谱估计中的应用

1996 IEEE Digital Signal Processing Workshop Proceedings Pub Date : 1996-09-01 DOI:10.1109/DSPWS.1996.555530

E. Horita, K. Nishikawa, Y. Miyanaga

{"title":"基于二维NSHP AR模型的带加权因子的快速递归最小二乘及其在光谱估计中的应用","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":"{\"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}","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

摘要

本文提出了一种基于二维AR模型的快速RLS算法，用于估计信号的时间和空间功率谱。该方法引入了非对称半平面(NSHP)模型和关于时间的指数加权因子。此外，还降低了传统FRLS的计算成本。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

A fast recursive least-squares with a weighting factor based an a 2-D NSHP AR model and its application to spectral estimation

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.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

1996 IEEE Digital Signal Processing Workshop Proceedings

自引率

0.00%

发文量

期刊最新文献

Multirate modeling of human ear frequency resolution for hearing aids An OFDM spread spectrum system using lapped transforms and partial band interference suppression Spectral extrapolation in sub-band coding Memory efficient list based Hough transform for programmable digital signal processors with on-chip caches Towards a system for segmentation under noisy conditions