{"title":"一种基于卡尔曼样条和LMS滤波器的光谱数据校正系统","authors":"K. Sakkay, D. Massicotte, A. Barwicz","doi":"10.1109/CCECE.1998.682758","DOIUrl":null,"url":null,"abstract":"This paper presents a VLSI implementation of a systolic array architecture for spectrometric measurement data correction using Kalman-spline and LMS filters. The simplicity and regularity of such architecture make it very attractive for VLSI implementation. The design of the processing element and the decision block is explicitly addressed. Synthetic data is used to validate the design and evaluate performance with respect to computing time and accuracy.","PeriodicalId":177613,"journal":{"name":"Conference Proceedings. IEEE Canadian Conference on Electrical and Computer Engineering (Cat. No.98TH8341)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1998-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A systolic architecture for spectrometric data correction based on Kalman-spline and LMS filters\",\"authors\":\"K. Sakkay, D. Massicotte, A. Barwicz\",\"doi\":\"10.1109/CCECE.1998.682758\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a VLSI implementation of a systolic array architecture for spectrometric measurement data correction using Kalman-spline and LMS filters. The simplicity and regularity of such architecture make it very attractive for VLSI implementation. The design of the processing element and the decision block is explicitly addressed. Synthetic data is used to validate the design and evaluate performance with respect to computing time and accuracy.\",\"PeriodicalId\":177613,\"journal\":{\"name\":\"Conference Proceedings. IEEE Canadian Conference on Electrical and Computer Engineering (Cat. No.98TH8341)\",\"volume\":\"36 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1998-05-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Conference Proceedings. IEEE Canadian Conference on Electrical and Computer Engineering (Cat. No.98TH8341)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCECE.1998.682758\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Conference Proceedings. IEEE Canadian Conference on Electrical and Computer Engineering (Cat. No.98TH8341)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCECE.1998.682758","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A systolic architecture for spectrometric data correction based on Kalman-spline and LMS filters
This paper presents a VLSI implementation of a systolic array architecture for spectrometric measurement data correction using Kalman-spline and LMS filters. The simplicity and regularity of such architecture make it very attractive for VLSI implementation. The design of the processing element and the decision block is explicitly addressed. Synthetic data is used to validate the design and evaluate performance with respect to computing time and accuracy.
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