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dc.contributor.authorFang, Wai-Chien_US
dc.contributor.authorChou, Chia-Chingen_US
dc.contributor.authorHung, Tzu-Hsunen_US
dc.contributor.authorLin, Kuen-Chihen_US
dc.contributor.authorLi, Arvin Huang-Teen_US
dc.contributor.authorChang, Yu-Chingen_US
dc.contributor.authorHwang, Bai-Kuangen_US
dc.contributor.authorShau, Yio-Whaen_US
dc.date.accessioned2014-12-08T15:30:05Z-
dc.date.available2014-12-08T15:30:05Z-
dc.date.issued2012en_US
dc.identifier.isbn978-1-4673-2293-5en_US
dc.identifier.issn2163-4025en_US
dc.identifier.urihttp://hdl.handle.net/11536/21546-
dc.description.abstractAn EMD-based algorithm for bio-sound signal processing was proposed and implemented on VEX330 Xilinx FPGA. A free-format fixed point library was development to deal with overflow and underflow problems. Downsampled phonocardiogram signals were fed into our EMD-processor. Comparison of floating point and fixed point results exhibited satisfactory consistency and demonstrated that our novel fixed point library are able to accommodate with wild variations of dynamic ranges.en_US
dc.language.isoen_USen_US
dc.subjectPhonocardiogramen_US
dc.subjectBio-sounden_US
dc.subjectEmpirical Mode Decompositionen_US
dc.subjectAlgorithmen_US
dc.titleAn Efficient and Accurate Empirical Mode Decomposition of the Technical Design and Methods for Biological Sounden_US
dc.typeProceedings Paperen_US
dc.identifier.journal2012 IEEE BIOMEDICAL CIRCUITS AND SYSTEMS CONFERENCE (BIOCAS): INTELLIGENT BIOMEDICAL ELECTRONICS AND SYSTEM FOR BETTER LIFE AND BETTER ENVIRONMENTen_US
dc.citation.spage320en_US
dc.citation.epage323en_US
dc.contributor.department電子工程學系及電子研究所zh_TW
dc.contributor.departmentDepartment of Electronics Engineering and Institute of Electronicsen_US
dc.identifier.wosnumberWOS:000316563200095-
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