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    ASIA unversity > 資訊學院 > 資訊工程學系 > 期刊論文 >  Item 310904400/6476

    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/6476

    Title: Full-Searching-Equivalent Vector Quantization Method Using Two-Bounds Triangle Inequality
    Authors: Chang, C. C.;Chen, C. C.
    Keywords: Full-searching-equivalent;triangle inequality;vector quantization (VQ
    Date: 2007-01
    Issue Date: 2009-12-17 14:58:11 (UTC+8)
    Publisher: Asia University
    Abstract: The encoding process of vector quantization (VQ) is indeed computational complex and time consuming. Compared with actual Euclidean distance computation, some inequalities can generate estimations with less computation to filter out the impossible codevectors as well as to reduce the computation time. In this paper, we introduce a new estimation for the Euclidean distance using two-bounds triangle inequality. The experimental results show that our proposed scheme can reduce Euclidean distance computation by 71% to 94% for full search. Having been proved, our proposed scheme can reduce the computing time by 42% to 51%.
    Relation: Fundamenta Informaticae 76(1-2): 25-37
    Appears in Collections:[資訊工程學系] 期刊論文

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