English  |  正體中文  |  简体中文  |  Items with full text/Total items : 57403/90944 (63%)
Visitors : 13106484      Online Users : 294
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/118544


    Title: An efficient VLSI architecture for 2-D dual-mode SMDWT
    Authors: Hsia, Chih-Hsien;Chiang, Jen-Shiun;Chang, Shih-Hao
    Keywords: Discrete wavelet transforms;CMOS integrated circuits;CMOS technology;Very large scale integration;Irrigation;Biomedical imaging;Image recognition
    Date: 2013-04-10
    Issue Date: 2020-04-11 12:10:34 (UTC+8)
    Abstract: In this paper, we propose a highly efficient VLSI architecture for 2-D dual-mode (supporting 5/3 and 9/7 lifting-based) Symmetric Mask-based Discrete Wavelet Transform (SMDWT) to improve the critical issue of the 2-D Lifting-based Discrete Wavelet Transform (LDWT), and then obtains the benefit of low-latency reduced complexity, and low transpose memory. The SMDWT also has the advantages of reduced complexity, regular signal coding, short critical path, reduced latency time, and independent subband coding processing. The transpose memory requirement of the N×N is 9N. The architecture is based on the parallel and folding scheme processing to achieve higher hardware utilization ratio and reduce the silicon area. It is suitable for Very Large Scale Integration (VLSI) implementation and can be applied to real-time operating of computer vision applications.
    DOI: 10.1109/ICNSC.2013.6548836
    Appears in Collections:[Graduate Institute & Department of Computer Science and Information Engineering] Proceeding

    Files in This Item:

    File Description SizeFormat
    index.html0KbHTML52View/Open

    All items in 機構典藏 are protected by copyright, with all rights reserved.


    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - Feedback