{"title":"二维AR模型参数估计的新方法","authors":"M. Zeinali, M. Shafiee","doi":"10.1109/ICCIAUTOM.2013.6912848","DOIUrl":null,"url":null,"abstract":"This paper presents a new method for two dimensional (2-D) autoregressive (AR) model parameters estimation. Based on Levinson-Durbin method, a new approach is extended for 2-D series, and for this purpose, an algorithm is presented. The presented method preserves in the 2-D case advantages of Levinson-Durbin such as recursive and online estimation similar 1-D case. This approach is illustrated by a numerical example.","PeriodicalId":444883,"journal":{"name":"The 3rd International Conference on Control, Instrumentation, and Automation","volume":"133 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A new method for 2-D AR model parameter estimation\",\"authors\":\"M. Zeinali, M. Shafiee\",\"doi\":\"10.1109/ICCIAUTOM.2013.6912848\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a new method for two dimensional (2-D) autoregressive (AR) model parameters estimation. Based on Levinson-Durbin method, a new approach is extended for 2-D series, and for this purpose, an algorithm is presented. The presented method preserves in the 2-D case advantages of Levinson-Durbin such as recursive and online estimation similar 1-D case. This approach is illustrated by a numerical example.\",\"PeriodicalId\":444883,\"journal\":{\"name\":\"The 3rd International Conference on Control, Instrumentation, and Automation\",\"volume\":\"133 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The 3rd International Conference on Control, Instrumentation, and Automation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCIAUTOM.2013.6912848\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The 3rd International Conference on Control, Instrumentation, and Automation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCIAUTOM.2013.6912848","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A new method for 2-D AR model parameter estimation
This paper presents a new method for two dimensional (2-D) autoregressive (AR) model parameters estimation. Based on Levinson-Durbin method, a new approach is extended for 2-D series, and for this purpose, an algorithm is presented. The presented method preserves in the 2-D case advantages of Levinson-Durbin such as recursive and online estimation similar 1-D case. This approach is illustrated by a numerical example.
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