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dc.contributor.advisor강상원-
dc.contributor.author안창호-
dc.date.accessioned2020-04-03T16:44:55Z-
dc.date.available2020-04-03T16:44:55Z-
dc.date.issued2009-02-
dc.identifier.urihttps://repository.hanyang.ac.kr/handle/20.500.11754/144725-
dc.identifier.urihttp://hanyang.dcollection.net/common/orgView/200000410938en_US
dc.description.abstractIn the first part, we develop a lossy coding technique for surface EMG signals based on the Adaptive Multi-Rate (AMR) coder and Block-Constrained Trellis-Coded Quantization (BC-TCQ) of the Line Spectrum Frequency (LSF) parameter. We show that the original waveforms of EMG signals can be preserved with a percentage error smaller than 5% using 1484.8 bits/s with a compression factor of 87.9%.-
dc.publisher한양대학교-
dc.title근 전도 신호 압축에 관한 연구 및 DSR을 위한 음성 특징 압축 알고리즘 설계-
dc.title.alternativeCompression of surface EMG signals and design of a quantization algorithm of the speech feature parameters for DSR-
dc.typeTheses-
dc.contributor.googleauthor안창호-
dc.contributor.alternativeauthorAhn, Chang Ho-
dc.sector.campusS-
dc.sector.daehak대학원-
dc.sector.department전자전기제어계측공학과-
dc.description.degreeMaster-


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