簡易檢索 / 詳目顯示

回結果列表
研究生： 陳建廷
Chien-Ting Chen
論文名稱： 適用於高速菲涅耳轉換之積體電路架構設計
Efficient VLSI Architecture for Fresnel Transform
指導教授： 黃文吉
Hwang, Wen-Jyi
學位類別： 碩士
Master
系所名稱： 資訊工程學系
Department of Computer Science and Information Engineering
論文出版年： 2013
畢業學年度： 101
語文別： 中文
論文頁數： 69
中文關鍵詞： 系統晶片設計 、FPGA 、菲涅耳轉換
論文種類： 學術論文
相關次數： 點閱：183  下載：4 
分享至:
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報

    • 本論文主要提出一硬體架構實現高速菲涅耳轉換，透過本硬體架構可還原全像片的相位值，後續再進行相位展開法則計算即可重建出物體實際樣貌。為了提高精確度，本硬體電路中大多使用IEEE 754浮點數格式進行運算，運算單元內部皆以管線化架構的方式實現，並且利用最佳排程將各運算單元之計算以平行的方式進行，有效提高菲涅耳轉換整體電路的運算效率，最後將此電路實現於FPGA開發平台並實際量測硬體資源消耗、運算時間以及功率消耗，透過硬體運算結果與軟體運算結果相互驗證確認還原結果正確。根據實驗結果，本論文提出之硬體架構有高精確度、高速運算以及低功率消耗之優點，對於現今要求即時運算的嵌入式數位全像系統，本論文所提出之硬體架構較具有競爭力。

    中文摘要............................................i 誌謝...............................................ii 目錄..............................................iii 附表目錄............................................v 附圖目錄..........................................vii 第一章 緒論.......................................1 1.1 研究背景與動機目的................................1 1.2全文架構.........................................3 第二章 基礎理論及技術背景介紹........................4 2.1 菲涅耳轉換運算流程...............................4 2.2討論菲涅耳轉換及相位展開於數位全像顯微鏡之應用.........8 2.3 FPGA系統設計...................................10 第三章 系統架構...................................13 3.1 Architecture I及Architecture II之基本架構.......13 3.1.1 前轉換單元(Pre-transform Unit)................14 3.1.2 快速傅立葉轉換單元(FFT Unit)...................18 3.1.3 後轉換單元(Post-transform Unit)...............21 3.2 Architecture I及Architecture II之排程...........29 3.2.1 Architecture I之排程.........................29 3.2.2 Architecture II之排程.........................30 3.3 軟硬體共同設計...................................31 第四章 實驗數據與效能比較...........................33 4.1 開發平台與實驗環境介紹............................33 4.2 實驗數據的呈現與討論..............................36 第五章 結論.......................................67 參考著作............................................68

    [1] D. Gabor, “A new microscopic principle,” Nature ,vol.161, pp.777-778, 1948.
    [2] E. Cuche, P. Marquet and C. Depeursinge, “Simultaneous amplitude-contrast and quantitative phase-contrast microscopy by numerical reconstruction of Fresnel of-axis holograms,” Appl. Opt., vol. 38, pp. 6994–7001, 1999.
    [3] M. Born and E. Wolf, Principles of optics, Cambridge University Press, 1999.
    [4] H. Oberst, D. Kouznetsov, K. Shimizu, J. Fujita, and F. Shimizu, “Fresnel diffraction mirror for atomic wave,” Phys. Rev. Lett., vol. 94, no.013203, 2005.
    [5] R. C. MacLaurin, Light, Columbia University Press, 1909.
    [6] N. Pandey, D. P. Kellya, T. J. Naughtona and B. M. Hennellya, “Speed up of Fresnel transforms for digital holography using precomputed chirp and GPU processing,” Proc. SPIE, vol. 7442, 2009.
    [7] Z. Zhu, M. Sun, H. Ding, S. Feng, and S. Nie, “Fast numerical reconstruction of digital holography based on graphic processing unit,” Pacific Rim Conference on Lasers and Electro-Optics, 2009.
    [8] T. Shimobaba, Y. Sato, J. Miura, M. Takenouchi, and T. Ito, “Real-time digital holographic microscopy using the graphic processing unit,” Opt. Express, vol. 16, pp. 11776-11781, 2008.
    [9] T. Nishitsuji, T. Shimobaba, T. Sakurai, N. Takada, N. Masuda, and T. Ito, “Fast calculation of Fresnel diffraction calculation using AMD GPU and OpenCL”, Digital Holography and Three-Dimensional Imaging, OSA Techinal Digest Optical Society of America, 2011.
    [10] N. Masuda, T. Ito, K. Kayama, H. Kono, S. Satake, T. Kunugi, and K. Sato, “Special purpose computer for digital holographic particle tracking velocimetry,” Opt. Express, vol. 14, pp. 587-592, 2006.
    [11] 莊子昕, 以菲涅耳轉換及相位展開為基礎之數位全像顯微鏡在FPGA上之實現, 國立臺灣師範大學資訊工程研究所, 2012.
    [12] S. Hauck and A. Dehon, Reconfigurable Computing, Morgan Kaufmann, 2008.
    [13] Stratton, Julius Adams: Electromagnetic Theory, McGraw-Hill, Reissued by Wiley IEEE Press, ISBN 978-0-470-13153-4, 1941.
    [14] S. Rajan, S. Wang, R. Inkol, A. Joyal, “Efficient Approximations for the Arctangent Function,” IEEE Signal Processing Magazine, vol. 23 pp. 108-111, 2006.
    [15] J. W. Goodman and R. W. Lawrence, “Digital image formation from electronically detected holograms,” Appl. Phys. Lett. vol. 11, pp. 77–79, 1967.
    [16] Altera Corporation, FFT MegaCore Function User Guide, 2011.
    [17] Altera Corporation, Floating Point Mega Function User Guide, 2011.
    [18] Altera Corporation, NIOS II Processor Reference Handbook, 2011.
    [19] S. Collange, D. Defour, and A. Tisserand, “Power consumption of GPUs from a software perspective,” International Conference on Computational Science, vol. 5544, pp. 922-931, 2009.

    下載圖示
    QR CODE