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## The Reduction and Classification of Nonlinear Features for Semg Signals Based on Rough Set and Support Vector MachinesAuthor: YanZhiGuoTutor: WangZhiZhong School: Shanghai Jiaotong University Course: Biomedical Engineering Keywords: surface electromyography signal independent component analysis wavelet package transform empirical mode decomposition cluster separation index rough set theory particle swarm optimization support vector machine information fusion CLC: R318 Type: PhD thesis Year: 2008 Downloads: 674 Quote: 6 Read: Download Dissertation ## Abstract
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