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    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/100654


    Title: The Sparse High-Robustness Digital Filter Implementations for ECG Noise Cancellation
    Authors: LIU, CHIA-YU
    Contributors: 光電與通訊學系碩士在職專班
    Keywords: wearable devices;IIR;digital filter;finite word-length (FWL);limit cycle;Schur Decomposition;normal-form
    Date: 2016
    Issue Date: 2016-08-12 13:23:38 (UTC+8)
    Publisher: 亞洲大學
    Abstract: In this thesis, a novel approach of synthesizing the finite-precision digital fil-tering scheme for noise cancellation of wearable devices such as ECG recorders is presented. By using the proposed method and Schur Decomposition Algorithm, one may transfer any original given filter realization to a sparse normal-form structure. It is shown that sparse normal-form realizations are with minimal finite word-length (FWL) sensitivity, limit-cycle-free property, and highly computational efficiency. Moreover, we propose an improved algorithm can auto scale the matrix gain between the input and output matrices of a state-space IIR digital filter reali-zation. This may highly reduce the probability of overflow and underflow effects. Finally, a numerical example is proposed to verify our proposed approach.
    Appears in Collections:[光電與通訊學系] 博碩士論文

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