压缩感知理论在塑料闪烁体信号重构中的应用

arXiv: Medical Physics Pub Date : 2013-10-06 DOI:10.5506/APhysPolBSupp.6.1121

L. Raczynski, P. Kowalski, T. Bednarski, P. Bialas, E. Czerwiński, Ł. Kapłon, A. Kochanowski, G. Korcyl, J. Kowal, T. Kozik, W. Krzemień, Marcin Molenda, Paweł Moskal, S. Nied'zwiecki, Marek Palka, M. Pawlik, Z. Rudy, P. Salabura, Neha Gupta Sharma, M. Silarski, A. Slomski, J. Smyrski, A. Strzelecki, W. Wiślicki, M. Zielinski

{"title":"压缩感知理论在塑料闪烁体信号重构中的应用","authors":"L. Raczynski, P. Kowalski, T. Bednarski, P. Bialas, E. Czerwiński, Ł. Kapłon, A. Kochanowski, G. Korcyl, J. Kowal, T. Kozik, W. Krzemień, Marcin Molenda, Paweł Moskal, S. Nied'zwiecki, Marek Palka, M. Pawlik, Z. Rudy, P. Salabura, Neha Gupta Sharma, M. Silarski, A. Slomski, J. Smyrski, A. Strzelecki, W. Wiślicki, M. Zielinski","doi":"10.5506/APhysPolBSupp.6.1121","DOIUrl":null,"url":null,"abstract":"Jagiellonian University, 30-059 Krak\u0013ow, POLANDCompressive Sensing theory says that it is possible to reconstruct a mea-sured signal if an enough sparse representation of this signal exists in com-parison to the number of random measurements. This theory was appliedto reconstruct signals from measurements of plastic scintillators. Sparserepresentation of obtained signals was found using SVD transform.PACS numbers: 87.57.uk, 87.85.Ng, 89.20.Ff","PeriodicalId":8462,"journal":{"name":"arXiv: Medical Physics","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2013-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Application of Compressive Sensing Theory for the Reconstruction of Signals in Plastic Scintillators\",\"authors\":\"L. Raczynski, P. Kowalski, T. Bednarski, P. Bialas, E. Czerwiński, Ł. Kapłon, A. Kochanowski, G. Korcyl, J. Kowal, T. Kozik, W. Krzemień, Marcin Molenda, Paweł Moskal, S. Nied'zwiecki, Marek Palka, M. Pawlik, Z. Rudy, P. Salabura, Neha Gupta Sharma, M. Silarski, A. Slomski, J. Smyrski, A. Strzelecki, W. Wiślicki, M. Zielinski\",\"doi\":\"10.5506/APhysPolBSupp.6.1121\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Jagiellonian University, 30-059 Krak\\u0013ow, POLANDCompressive Sensing theory says that it is possible to reconstruct a mea-sured signal if an enough sparse representation of this signal exists in com-parison to the number of random measurements. This theory was appliedto reconstruct signals from measurements of plastic scintillators. Sparserepresentation of obtained signals was found using SVD transform.PACS numbers: 87.57.uk, 87.85.Ng, 89.20.Ff\",\"PeriodicalId\":8462,\"journal\":{\"name\":\"arXiv: Medical Physics\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-10-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv: Medical Physics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5506/APhysPolBSupp.6.1121\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv: Medical Physics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5506/APhysPolBSupp.6.1121","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 4

摘要

压缩感知理论认为，如果与随机测量的数量相比，存在足够稀疏的信号表示，就有可能重建一个测量信号。这一理论被应用于从塑料闪烁体测量中重建信号。利用SVD变换对得到的信号进行稀疏表示。PACS数字:87.57。英国,87.85。Ng 89.20.Ff

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Application of Compressive Sensing Theory for the Reconstruction of Signals in Plastic Scintillators

Jagiellonian University, 30-059 Krakow, POLANDCompressive Sensing theory says that it is possible to reconstruct a mea-sured signal if an enough sparse representation of this signal exists in com-parison to the number of random measurements. This theory was appliedto reconstruct signals from measurements of plastic scintillators. Sparserepresentation of obtained signals was found using SVD transform.PACS numbers: 87.57.uk, 87.85.Ng, 89.20.Ff

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

arXiv: Medical Physics

自引率

0.00%

发文量