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研究生: 薛承元
Syue, Cheng-Yuan
論文名稱: 低面積高輸出效能之多協定轉換用共同因子分散式算術技術
A Low-Cost 2-D Multi-standard Transform Architecture
指導教授: 張慶元
Chang, Tsin-Yuan
口試委員: 張慶元
Chang, Tsin-Yuan
洪進華
Hong, Jin-Hua
陳元賀
Chen, Yuan-Ho
學位類別: 碩士
Master
系所名稱: 電機資訊學院 - 電機工程學系
Department of Electrical Engineering
論文出版年: 2012
畢業學年度: 101
語文別: 中文
論文頁數: 58
中文關鍵詞: 多標轉轉換架構離散餘弦轉換逆向離散餘弦轉換
外文關鍵詞: Multi-standard Transform Architecture, DCT, IDCT
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  • 在本篇論文中,我們提出列共用的策略,結合過往共用因子(Factor Share)與分散式算數(Distributed Arithmetic)來建立多標準下低成本 DCT ( Discrete Cosine Transform )與 IDCT ( Inverse Discrete Cosine Transform ) 運算,此電路可支援多影像標準轉換,MPEG-4、H.264 與VC-1,包括 8 x 8 、8 x 4 、4 x 8以及 4 x 4 轉換。除此之外,我們利用 DCT 與 IDCT 係數矩陣的相似,在電路中以時間交錯的方式重複使用同一塊係數矩陣電路。不僅降低正向與逆向餘弦運算所需之面積成本,還可以連續運行一維與二維的 DCT 或 IDCT 轉換,維持高輸出率( Throughput Rate ),滿足即時 (Real-Time) 影像編碼的需求。並且我們提出了一個全新的平行一核心的電路,結合兩種架構的優點,低成本面積且高輸出率,延遲只需要68時脈,完成2個block 128筆的資料運算,此架構以 TSMC 0.18-um 的電路合成,在 Slow Model 下可顯示到125 MHz之操作頻率,且面積 39.5K 的邏輯閘可以達到500 M pixel/sec 之輸出率,我們的架構可支援 HDTV (1920 x 1080P@60Hz) 即時影像編碼。


    In this thesis, a row share strategy, that combined factor share and distributed arithmetic are proposed to build low-cost DCT (Discrete Cosine Transform) and IDCT (Inverse Discrete Cosine Transform) transforms. The proposed architecture can support multi-standard transform, such as MPEG-4, H.264, and VC-1 including 8 x 8、8 x 4、4 x 8 and 4 x 4 transforms. Besides, based on the similarities of DCT and IDCT transforms, we reuse the same circuits to manipulate DCT and IDCT by interlaced sorting methods. Not only the cost of area is saved, but 1D DCT(IDCT) and 2D DCT(IDCT) are also operated continuously to reach the high throughput rate and meet the demands of real-time system. A new parallel structure core circuit is proposed to have the advantages of high-throughput rate and low-cost area compared with previous works. The proposed core requires 68 cycles in latency for 128 data consisted of 2 8x8 blocks. The proposed design uses a TSMC 0.18-um 1P6M CMOS process to implement this chip. In simulation, the operating frequency is 125MHz in slow model and achieves 500MHz throughput rate with 39.5K gate counts. The proposed core can support HDTV(1920 x 1080P@60Hz) in real-time video encoder.

    1介紹與動機 --------------------------------------------------------------1 1.1 介紹-----------------------------------------------------------1 1.2 研究動機-------------------------------------------------------2 1.3 前人提出的方法-------------------------------------------------4 1.4 本篇貢獻-------------------------------------------------------7 1.5 本篇論文內容---------------------------------------------------7 2 提出的一維電路平行運算二維架構------------------------------------------------------8 2.1 二維 DCT與IDCT演算法介紹--------------------------------------8 2.2 一維 DCT/IDCT 行列重組---------------------------------------10 2.3 提出列共用策略------------------------------------------------15 2.3.1 分散式算數推導------------------------------------------------15 2.3.2 共用因子數學推導--------------------------------------------17 2.3.3 探討一個列共用方式的策略------------------------------------19 2.3.4 列共用目標結果----------------------------------------------38 2.4 提出新的一維架構平行運算二維資料-------------------- -----------39 2.4.1 提出 FBF2/IBF2 架構----------------------------------------40 2.4.2 提出 PEE/PEO 架構------------------------------------------41 2.4.3 提出 TM(Transpose Memory) 架構------------------------------42 2.4.4 架構運作時序圖----------------------------------------------43 3 模擬結果與相關文獻比較-----------------------------------------------------------45 3.1 模擬結果------------------------------------------------------45 3.2 規格及模擬結果------------------------------------------------48 3.3 論文比較------------------------------------------------------50 4 結論與未來發展----------------------------------------------------------------------------52 4.1 結論----------------------------------------------------------52 4.2 未來發展------------------------------------------------------52 文獻---------------------------------------------------------------54

    [1] MPEG4 standards web site,http://en.wikipedia.org/wiki/MPEG-4

    [2] H.264 standards web site, http://en.wikipedia.org/wiki/H.264

    [3] VC-1 standards web site, http://en.wikipedia.org/wiki/VC-1

    [4] C. Y. Huang, L. F. Chen, and Y. K. Lai, “A High-Speed 2D Transform Architecture with Unique Kernel for Multi-Standard Video Applications,” in Proc. IEEE International Symposium Circuits and Systems (ISCAS), pp. 21-24, 2008.

    [5] H. Chang, S. Kim, S. Lee, and K. Cho, “Design of Area-efficient Unified Transform Circuit for Multi-standard Video Decoder,” In Proc. of IEEE International SoC Design Conference (ISOCC) pp.369-372, 2009.

    [6] C. P. Fan and G. A. Su, “Fast Algorithm and Low-Cost Hardware-Sharing Design of Multiple Integer Transforms for VC-1,” IEEE Trans. Circuits and Systems II (TCSII), Express Briefs, vol. 56, no. 10, pp. 788-792, October 2009.

    [7] H. Qi, Q. Hung, and W. Cao, “A Low-Cost Very Large Scale Integration Architecture for Multistandard Inverse Transform,” IEEE Trans. Circuits and Systems II: Express Briefs, vol. 57, no. 7, pp. 551 - 555 , July 2010.

    [8] Y. Lai, and Y. K. Lai, “Design and implementation of reconfigurable IDCT architecture for multi-standard video decoders,” in Proc. of IEEE SoC Design Conference (ISOCC), pp. 107 - 110, November. 2010.

    [9] Y. K. Lai, and Yu. F.Lai, “A reconfigurable IDCT architecture for universal video decoders”, IEEE Trans. Consumer Electronics: Express Briefs, vol. 56, no. 3, pp. 1872 -1879, Aug. 2010.

    [10] K. Wang, J. Chen, and W. Cao, “A Reconfigurable Multi-Transform VLSI Architecture Supporting Video Codec Design”, IEEE Trans. Circuits and Systems II: Express Briefs, vol. 58, no. 7 pp. 432 - 436, July. 2011.

    [11] K. Wahid, M. Martuza, M. Das, and C. McCrosky, “Resource shared architecture of multiple transforms for multiple video codecs,” in Proc. of IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), pp. 947-950, May 2011.

    [12] M. Martuza, C. McCrosky, and K. Wahid, “A fast hybrid DCT architecture supporting H.264, VC-1, MPEG-2, AVS and JPEG codecs,” In Proc. of IEEE International Conference on Information Science, Signal Processing and their Applications(ISSPA), pp. 545-549, July 2012.

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