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dc.contributor.authorHung, Shao-Hangen_US
dc.contributor.authorChao, Chih-Fengen_US
dc.contributor.authorYan, Yu-Chunen_US
dc.contributor.authorLin, Bor-Shyhen_US
dc.contributor.authorLin, Chin-Tengen_US
dc.date.accessioned2014-12-08T15:36:19Z-
dc.date.available2014-12-08T15:36:19Z-
dc.date.issued2010en_US
dc.identifier.isbn978-1-4244-6890-4en_US
dc.identifier.issn0886-1420en_US
dc.identifier.urihttp://hdl.handle.net/11536/24657-
dc.description.abstractThis paper presented Independent Component Analysis (ICA) Hard-IP integration in System on Programmable Chip (SOPC) platform. The ICA component can discover the main component for original signal in multiple fetching signal sources, and it has been used in biomedical signal processing such as electroencephalogram (EEG) analysis. The proposed system consists of a programmable CPU, ICA processing units, system bus, communication, and display interface. The experimental results showed that the proposed design implemented on Altera DE2 FPGA development board, can achieve real-time signal separation and display at 100 MHz. The whole design consists of 29,640 logic elements.en_US
dc.language.isoen_USen_US
dc.subjectelectroencephalogramen_US
dc.subjectIndependent Component Analysisen_US
dc.subjectSystem on Programmable Chip(SOPC)en_US
dc.titleIndependent Component Analysis Hard-IP integration System on Programmable Chip (SOPC) Platformen_US
dc.typeArticleen_US
dc.identifier.journalTENCON 2010: 2010 IEEE REGION 10 CONFERENCEen_US
dc.citation.spage1705en_US
dc.citation.epage1709en_US
dc.contributor.department電控工程研究所zh_TW
dc.contributor.departmentInstitute of Electrical and Control Engineeringen_US
dc.identifier.wosnumberWOS:000287978600284-
Appears in Collections:Conferences Paper