跳到主要內容

臺灣博碩士論文加值系統

(44.201.94.236) 您好!臺灣時間:2023/03/25 01:20
字體大小: 字級放大   字級縮小   預設字形  
回查詢結果 :::

詳目顯示

: 
twitterline
研究生:余遠渠
研究生(外文):Yu Yuan-Chu
論文名稱:高效能之管線式傅立葉轉換處理器之設計與實現
論文名稱(外文):Design and Implementation of High-Effective Pipelined Processors for Discrete-Time Fourier Transform Applications
指導教授:林進燈林進燈引用關係
指導教授(外文):Lin Chin-Teng
學位類別:博士
校院名稱:國立交通大學
系所名稱:電機與控制工程系所
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2008
畢業學年度:96
語文別:英文
論文頁數:129
中文關鍵詞:高效能之管線式處理器雙聲多頻偵測器多輸入多輸出之正交多頻的無線區域網路多輸入點之長快速傅立葉轉換運算快速傅立葉正(反)轉換/二維數位餘弦轉換下代手機應用
外文關鍵詞:Effective Pipeline ProcessorDTMFMIMO-OFDM Wireless LANlong-length based FFT/IFFT computationsFFT/IFFT/2D-DCT computationsnext-generation mobile applications
相關次數:
  • 被引用被引用:0
  • 點閱點閱:378
  • 評分評分:
  • 下載下載:15
  • 收藏至我的研究室書目清單書目收藏:0
本篇論文針對傅立葉轉換,設計其高效能之管線式處理器。論文以四種不同之即時應用為範例來提出其對應之高效能設計,其包括:雙聲多頻偵測器在高通道密度之VoP應用、多輸入多輸出之正交多頻的無線區域網路、多輸入點之長快速傅立葉轉換運算在手機之數位影像傳波系統應用、以及快速傅立葉正(反)轉換/二維數位餘弦轉換在下代手機之多媒體應用。針對這四種明顯不同之應用,本論文提出了六種特定之硬體導向設計,以達到最高效能之管線式處理器架構,其評估之指標包括: 單位時間輸出量、計算延遲時間、運算複雜度、硬體成本與硬體使用之利用率。在雙聲多頻偵測器之應用上,本論文採用:精簡式輸入序列架構、分散式記憶體以及柴比雪夫多項式為基準之改良式遞迴式轉換器,來達到低計算週期、高能量利用率之優點。所架構之單聲多頻偵測器單核心,可在相同之運算速度及運算時間內,達到雙倍之資料運算量。對於2×2以及4×4多輸入多輸出之正交多頻的無線區域網路,本論文提出兩種高效能之快速傅立葉正(反)轉換處理器:積數2/8之多回授路徑架構(R28MDF)與積數2/8之多延遲整流路徑架構(R28MDC)。依據精簡式之基數8快速傅立葉轉換單元(R8-FFT),配合先寫後讀(MAW)之技巧,此兩架構達到了100%之蝴蝶器利用率,同時更在單位時間內達到高輸出量已滿足2×2以及4×4多輸入多輸出之正交多頻之無線區域網路需求。針對多輸入點之長快速傅立葉轉換運算應用上,本論文提出兩個新式架構:基數42單一迴授路徑架構與基數43單一迴授路徑架構,其以較少之基數4理論來達到高基數16與基數64之低運算複雜度效能。在跟其他數個已存在之管線式處理器比較後,可證明本論文所提出之架構,以最少之硬體成本達到最高之硬體使用率,因此達到了高效能之應用需求。最後根據基數42單一迴授路徑架構,配合區段移位暫存器與翻轉移位暫存器架構,架構了一”三模處理器”來支援256點之快速傅立葉正(反)轉換運算與二維數位餘弦轉換運算。同樣地,在跟其他數個現存之管線式處理器比較後,可證明本論文所提出之架構,以最少之硬體成本達到最高之硬體使用率,因此達到了高效能之應用需求。在本論中六個處理器皆以用TSMC 0.13µm CMOS製程完成實現與驗證,根據實現結果與嚴謹之比較,我們可證明本文所提出之RDFT、R28MDF/R28MDC、R42SDF/ R43SDF 與三模處理器,在雙聲多頻偵測器、多輸入多輸出之正交多頻的無線區域網路、多輸入點之長快速傅立葉轉換運算、下代手機之多媒體應用上皆達到高處理效能之優點。
In this thesis, the design and implementation of effective pipeline processors for Fourier transform are presented. Four different real-time applications are introduced, which includes dual tone multi-frequency (DTMF) detector in the high channel density voice over packet (VoP) application, multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) wireless LAN (WLAN) system, long-length based FFT/IFFT computations in digital video broadcasting-handheld (DVB-T) standard and FFT/IFFT/2D-DCT computations in next generation mobile multimedia applications. According to these four standards, six specific hardware-orientated designs for most effective pipeline processors have been proposed in terms of throughput, computation latency, computation complexity, hardware cost and hardware utilization.
For the DTMF standards, one low-computation cycle and power-efficient recursive DFT/IDFT processor adopting a hybrid of input strength reduction, the Chebyshev polynomial, and register-splitting schemes has been proposed. Appling this novel low-computation cycle architecture, we could double the throughput rate and the channel density without increasing the operating frequency for the DTMF detector in the high channel density VoP application. Two effective FFT/IFFT processors, namely adix-2/8 multiple-path delay feedback (R28MDF) based and raidx-2/8 multiple-path delay commutator (R28MDC) based FFT/IFFT processors for the 2×2 and 4×4 MIMO-OFDM WLAN systems, respectively. By applying the retrenched 8-point FFT (R8-FFT) unit combined with the proposed multiplication-after-write (MAW) method, the R28MDF and R28MDC architectures resulted in 100% butterfly utilization and an appropriate throughput rate with few hardware resources for the 2×2 and 4×4 MIMO-OFDM applications, respectively. For the long-length based FFT/IFFT computations, two novel radix-42 single-path delay feedback (R42SDF) design and radix-43 single-path delay feedback (R43SDF) design with the low computational complexities of the radix-16 and radix-64 algorithms and the low hardware requirement of the radix-4 algorithm achieve the smallest hardware cost and the highest hardware utilization among the tested architectures and thus has the highest efficiency. Base on the effective R42SDF architecture with the segment shift register (SSR) and overturn shift register (OSR) structure, the proposed triple-mode processor not only supports both 256-point FFT/IFFT and 8×8 2-D DCT computations, but also has the smallest hardware requirement and largest hardware utilization among the tested architectures for the FFT/IFFT computation, and thus has the highest cost efficiency.
In this thesis, six processors all implemented under TSMC 0.13µm CMOS process. According to the comprehensive comparisons and implementation results, we could demonstrate that the proposed RDFT, R28MDF/R28MDC, R42SDF/ R43SDF and Triple-Mode designs achieve the high effective advantages for DTMF, MIMO-OFDM WLAN, DVB-T and next-generation applications.
Abstract in Chinese……………………………………………………………………...i
Abstract in English……………………………………………………………………...iii
Acknowledgements in Chinese……………………………………………………….....v
Contents…………………………………………………………………….…………….vi
List of Figures………………………………………………………….………………...x
List of Tables...………………………………………………………….………………xiv

1 Introduction………………………………………………………………………...1
1.1 Motivation……………………………………………………………………………2
1.2 Objectives………….………………………………………………………………...4
1.3 Contributions…………………………………………………………………………9
1.4 Organization……….……………………………………………………………...12

2 Literature Review…………………………………………………………………...14
2.1 The Goertzel Algorithm...………………………………………………………....14
2.1.1 The Recursive DFT Algorithm……………………………………………15
2.1.2 The Recursive DFT Architecture……………………………….…………..16
2.2 The Review of FFT Algorithm……………………………………………………...18
2.2.1 Radix-2 DIF FFT Algorithm………………………………………………19
2.2.2 Radix-4 DIF FFT Algorithm………………………………….…………..20
2.2.3 Radix-8 DIF FFT Algorithm………………………………………………23
2.2.4 Radix-2/4 DIF FFT Algorithm……………………………….…..………..24
2.2.5 Radix-2/8 DIF FFT Algorithm……………………………………….……26
2.2.6 Radix-22 DIF FFT Algorithm……………………………….…..…………..27
2.2.7 Radix-23 DIF FFT Algorithm…………………………………….…………28
2.3 The Review of Pipeline FFT Architecture………………….……………………...30
2.4 The MIMO-FFT Architecture……………………………………………………...31

3 he Low-Computation Cycle and Power-Efficient Recursive DFT/IDFT Design….34
3.1 New Recursive Algorithm and Architecture...……………………………..……....35
3.2 The Proposed DTMF Receiver and Chip Implementation………………………...41
3.3 The Comparison of different Recursive DFT/IDFT Architecture………………...46
3.4 Summary…………………………………………………………………………...48

4 Effective FFT/IFFT Processors for MIMO- OFDM WLAN Systems………….....49
4.1 The Proposed Modified Radix-2/8 FFT/IFFT Algorithm...………………………...50
4.2 The Proposed MIMO-FFT Architecture...…………………….…………………...53
4.2.1 R28MDF-based 64-Point FFT/IFFT Processor for 2×2 MIMO-OFDM system……………………………………………………………………………....53
4.2.2 R28MDC-based 64-Point pipeline FFT/IFFT Processor for 4×4 MIMO-OFDM system...………………………….…………………………….….58
4.3 Circuit Implementation……………………………………………..……………...59
4.4 The Comparison Discussion of MIMO-FFT Architecture………………………...61
4.4.1 2×2 MIMO-OFDM WLAN application…………………...…….…………62
4.4.2 4×4 MIMO-OFDM WLAN application…………………………………..64
4.5 Summary………………….………………………………………………………...66

5 Long-Length based Effective Pipeline FFT/IFFT Processor……………………...67
5.1 New Radix-42 and Radix-43 based FFT/IFFT Algorithm...…………………………68
5.1.1 Radix-42 based FFT Formula……………………………….………………68
5.1.2 Radix-42 based IFFT Formula………………………………….…………..70
5.1.3 Radix-43 based FFT/IFFT Formula………………………………………..71
5.2 Pipeline 4096-Point R42SDF and R43SDF Based FFT/IFFT VLSI Architecture…..73
5.2.1 Radix-4 Butterfly………………………….…………………….…………74
5.2.2 Memory Structure……………………………………….…..……………..75
5.2.3 Constant Multiplier……………………………………………….…………78
5.2.4 Eight Folded Complex Multiplier……………………….…..……………..80
5.3 Finite Word-Length Analysis……………………………….…………………...81
5.4 The MIMO-FFT Architecture……………………………………………………...83
5.5 Chip Implementation……………………………….….…………………………...85
5.6 Summary…………………………………………………………………………...88

6 Effective Triple-Mode Reconfigurable Pipeline FFT/IFFT/2D-DCT Processor….89
6.1 8×8 2D FFT and 8×8 2D DCT Formula...…………………………………………90
6.2 Pipeline 256-Point FFT/IFFT/8×8 2D-DCT Processor Architecture……………..93
6.2.1 Radix-4 Butterfly and Radix-2 Butterfly………………………..…………95
6.2.2 Memory Structure……………………………………….…..……………..96
6.2.3 Input Re-ordering and First Butterfly Computation…………….…………99
6.2.4 Constant Multiplier……………………………………………….………101
6.2.5 Eight Folded Complex Multiplier………………………….……………..103
6.2.5 Post Computation…………………………………………..……………..104
6.3 Finite Word-Length Analysis……………………………….…………………...105
6.3.1 Pipeline 256-Point FFT/IFFT…………………………..………..………106
6.3.2 Pipeline 8×8 2-D DCT…………………………………………..………107
6.4 Comparison and Chip Implementation…………………………….……………..109
6.4.1 Comparison between R42SDF and R22SDF…………………..…………109
6.4.2 8×8 2-D DCT Comparison…………………………….…..……………..111
6.4.3 Chip Implementation……………………………………….…..………….114
6.5 Summary…………………………………………………………………………..116

7 Conclusion and Future Work………………………………..………………..…...117
8 Bibliography…………………………………………………..………………..…...119
9 Appendix………………………………………………………..………………..…...126
[1] W. W. Smith, J. M. Smith, Handbook of Real-Time Fast Fourier Transforms. Piscataway, NJ: IEEE Press, 1995.
[2] E. Oran Brigham, The Fast Fourier Transform, Prentice-Hall, Englewood Cliffs, NJ, 1974.
[3] J. W. Cooley and J. W. Tukey, “An Algorithm for the Machine Calculation of Complex Fourier Series, “Mathematics of Computation, Vol. 19, p. 297, 1965.
[4] G. Goertzel, “An algorithm for the evaluation of finite trigonometric series,” American Math. Monthly, vol. 65, pp. 34-35, Jan. 1958.
[5] S. M. Chai, S. Chiricescu, R. Essick, B. Lucas, P. May, K. Moat, J. M. Norris and M. Schuette,” Streaming Processors for Next-Generation Mobile Imaging Application,” IEEE Comm. Mag., vol. 43, issue 12, pp. 81-89, Dec. 2005.
[6] R. K. Kolagotla, J. Fridman, M. M. Hoffiman, W. C. Anderson, B. C. Aldrich, D. B. Witt, M. S. Allen, R. R. Dunton and L. A. Booth, “ A 333-MHz dual-MAC DSP architecture for next-generation wireless application,” IEEE Inter. Conf. on Acou., Speech, and Signal Proc., vol. 2, pp. 1013-1016, May 2001.
[7] M. Vorbach and J. Becker, “Reconfigurable processor architectures for mobile phones,” IEEE Inter. Symp. Parallel and Distributed Proc., 22-26, Apr. 2003.
[8] E. Tell, O. Seger and D. Liu, “A converged hardware solution for FFT, DCT and Walsh transform,” IEEE Inter. Symp. Signal Proc. and its Applications, vol. 1, pp. 609-612, July 2003.
[9] R. Storn, “Efficient input reordering for the DCT based on a real-valued decimation-in-time FFT,” IEEE Signal Proc. Letters, vol. 3, no. 8, pp. 242-244, Aug. 1996.
[10] C. Diab, M. Oueidat and R. Prost, “A New IDCT-DFT Relationship Reducing the IDCT Computational Cost,” IEEE Trans. On Signal Proc., vol. 50, no. 7, pp. 1681-1684, July 2002.
[11] ITU Blue Book, Recommendation Q. 24: Multi-Frequency Push-Bottom Signal Reception, Geneva, Switzerland, 1989.
[12] S. L. Gay, J. Hartung, and G. L. Smith, “Algorithms for muti-channel DTMF detection for the WE DSP32 family,” in Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing, pp. 1134-1137, Apr. 1989.
[13] M. D. Felder, J. C. Mason, and B. L. Evans, “Efficient dual-tone multifrequency detection using the nonuniform discrete Fourier transform,” IEEE Signal Processing Lett., vol. 5, pp. 160-163, Jul. 1998.
[14] J. P. Min, J. L. Sang and H. Y. Dal, “Signal detection and analysis of DTMF detector with quick Fourier transform,” The 30th Annual Conf. of the IEEE Industrial Electronics Society, pp. 2058-2064, Nov. 2004.
[15] D. Vanzquez, M. J. Avedillo, G. Huertas, J. M. Quintana, M. Pauritsh, A. Rueda and J. L. Huertas, “A low-voltage low-power high performance fully integrated DTMF detector,” IEEE International Solid-State Circuit Conf. , pp. 353-356 Sep. 2001.
[16] Conferencing chip specification, High-density conference meeting for the telephone systems, ADT Inc. Available: http: //www.adaptivedigital.com/pdf/adt_conf_c64x_ chip.pdf
[17] Texas Instruments technical white paper, Carrier Class, High Density VoP white Paper, Jan, 2001, Available: http://focus.ti.com/lit/ml/spey003/spey003.pdf.
[18] Voice over Packet Processor Product Specification, AC491xxx High Density Voice over Packet Processor Family. AudioCodes Inc. Available: http://www.audiocodes.com/Objects/LTRT-00270_DS_AC 491.pdf.
[19] Voice Gateway Product Specification, Single and High-Density Voice over IP Support for the Ciso AS5300/Voice Gateway, Cisco Inc. Available: http://www.cisco.com/warp/public/cc/pd/as/as5300/prodlit/vffc_ds.pdf.
[20] M. Ding, Z. Shen, and B. L. Evans, “An achievable performance upper bound for discrete multitone equalization,” IEEE Global Telecommunications Conf., vol. 4, pp. 2297-2301, Dec. 2004.
[21] R. K. Martin, K. Vanbleu, M. Ding, G. Yebaert, M. Milosevic, B. L. Evans, M. Moonen and C. R. Johson, Jr., “ Unification and evaluation of equalization structures and design algorithms for discrete multitone modulation systems,” IEEE Trans. Signal Processing, vol. 53, no. 10, pp. 3880-3894, Oct. 2005.
[22] R. V. Nee and R. Prasad, “OFDM for wireless multimedia communications, “ Norwood, MA: Artch House, 2000.
[23] Mujtaba et al.: ‘TGn Sync Proposal Tech. Specification for IEEE 802.11 Task Group 2005’, IEEE 802.11-04/0889r3, 2005
[24] D. Borkowski, and L. Bruhl,: “Optimized hardware architecture for real-time equalization in single- and multi-carrier MIMO systems, “ Proc. 3rd Workshop on Software Radio, Karlsruhe, Germany, 2004.
[25] S. Ludwig and Z. Ernst: “Optimized FFT architecture for MIMO application,” Proc. 13th European Signal Processing Conference, Antalya, Sep. 2005.
[26] T. Sansaloni, A. Perez-Pascual, V. Torres and J. Valls, “Efficient pipeline FFT processors for WLAN MIMIO-OFDM systems,” IEE Electronics Letters, vol. 41, issues 19, pp.1043-1044, Sep. 2005.
[27] ETSI, “Digital Video Broadcasting (DVB): Transmission System for Handheld Terminals (DVB-H),” ETSI EN302304.
[28] C. T. Lin and Y. C. Yu, “Cost-Effective Pipeline FFT/IFFT VLSI Architecture for DVB-H System,” National Symp. on Telecommunication, pp. 295-299, Nov. 2007.
[29] C. L. Wang and C. H. Chang, “A new memory-based FFT processor for VDSL transceivers, “ IEEE Inter. Symp. on Circuits and System, vol. 4, pp. 670-673, May 2001.
[30] M. Jun, Y. Yahat and K. Yamaguchi, “A study on annoyance of musical signal using LAeq measurement and digital signal processing, “ IEEE Inter. Conf. on Acoustics, Speech and Signal Proc., vol. 11, pp. 1281-1284, Apr. 1986.
[31] S. He and M. Torkelson, “Designing pipeline FFT processor for OFDM (de)modulation, “ in Proc. URSI Int. Symp. Signals, Syst., Electron., pp. 257-262, 1998.
[32] W. C. Yeh and C. W. Jen, “High-speed and low-power split-radix FFT,” IEEEE Trans. on Signal Processing, vol. 51, no. 3, pp. 864-874, Mar. 2003.
[33] K. Maharatna, E. Grass and U. Jaghold, “A 64-point Fourier transform chip for high-speed wireless LAN application using OFDM,” IEEE J. Solid-State Circuits, vol. 39, issue 3, pp. 484-493, Mar. 2004.
[34] W. H. Chang and T. Nguyen, “An OFDM-specified lossless FFT architecture, “ IEEE Trans. on Circuits and Systems I, vol. 53, issue 6, pp. 1235-1243, June 2006.
[35] L. Jia, Y. Gao and H. Tenhunen, “ Efficient VLSI implementation of radix-8 FFT algorithm,” IEEE Pacific Rim Conf. on Comm., Computers and Signal Proc., pp. 468-471, Aug. 1999.
[36] Y. Jung, Y. Tak, J. K. J. Park, D. Kim and H. Park, “Efficient FFT Algorithm for OFDM Modulation”, IEEE Int. Conf. on Electrical and Electronic Tech. , vol. 2, pp. 676-678, Aug. 2001.
[37] W. Li and L. Wanhammar, “A pipeline FFT processor,” in Proc. IEEE Workshop on Signal Processing Systems, pp. 654-662, 1999.
[38] A. P. Chandrakasan and R. W. Brodersen, “Low Power Digital CMOS Design”, Kluwer Academic Publishers, 1995.
[39] L. R. Rabiner and B. Gold, “Theory and Application of Digital Signal Processing”, Prentice-Hall, Inc., NJ, 1975.
[40] E. E. Swatzlander, W. K. W. Young and S. J. Joseph, “A radix 4 delay commutator for fast Fourier transform processor implementation”, IEEE J. Solod-State Circuits, SC-19(5), pp. 702-709, Oct. 1984.
[41] K. Maharatna, E. Grass and U. Jaghold, “A 64-point Fourier transform chip for high-speed wireless LAN application using OFDM,” IEEE J. Solid-State Circuits, vol. 39, issue 3, pp. 484-493, Mar. 2004.
[42] E. H. Wold and A. M. Despain, “Pipeline and parallel pipeline FFT processors for VLSI implementation, “ IEEE Trans. Comput., C-33, pp. 414-426, May 1984.
[43] A. M. Despain, “Fourier transform computer using CORDIC iterations,” IEEE Trans. Comput., , C-23, pp. 993-1001, Oct. 1974.
[44] IEEE Standard 802.16-2004,” IEEE Standard for Local and Metropolitan Area Networks Part 16: Air Interface for Fixed Broadband Wireless Access Systems,” New York: IEEE, 2004.
[45] Z. Liu, Y. Song, T. Ikenaga and S. Goto, “A VLSI array processing oriented fast Fourier transform algorithm and hardware implementation,” IEICE Trans. Fundamentals, vol.E88-A, no. 12, pp. 3523-3530, Dec. 2005.
[46] Z. Wang, G. A. Jullien and W. C. Miller, “Recursive algorithms for the forward and inverse discrete cosine transform with arbitrary length,” IEEE Signal Processing Lett., vol. 1, no. 7, pp. 101-102, Jul. 1994.
[47] C. H. Chen, B. D. Liu, J. F. Yang, and J. L. Wang, “Efficient recursive structures for forward and inverse discrete cosine transform,” IEEE Trans. Signal Processing, vol. 52, pp. 2665-2669, Sep. 2004.
[48] M. F. Aburdene, J. Zheng and R. J. Kozick, “Computation of discrete cosine transform using Clenshaw’s recurrence formula,” IEEE Signal Processing Lett., vol. 2, no. 8, pp. 155-156, Aug. 1995.
[49] V. V. Cizek, “Recursive calculation of Fourier transform of discrete signal,” IEEE Int. Conf. Acoustics, Speech, and Signal Processing, pp. 28-31, May 1982.
[50] T. E. Curtis and M. J. Curtis, “Recursive implementation of prime radix and composite radix Fourier transforms,” IEE Colloquium on Signal Processing Applications of Finite Field Mathematics, pp. 2/1-2/9, Jun. 1989.
[51] L. D. Van and C. C. Yang, "High-speed area-efficient recursive DFT/IDFT architectures," in Proc. IEEE Int. Symp. Circuits Syst., vol. 3, pp. 357-360, May 2004.
[52] J. F. Yang and F. K. Chen, “Recursive discrete Fourier transform with unified IIR filter structures,” Elsevier Science B.V., Signal Processing, vol. 82, pp. 31-41, Jan. 2002.
[53] C. P. Fan and G. A. Su, “Novel recursive discrete Fourier transform with compact architecture,” IEEE Asia-Pacific Conf. Circuits Syst., pp. 1081-1084, Dec. 2004.
[54] L. D. Van, Y. C. Yu, C. M. Huang, C. T. Lin, "Low computation cycle and high speed recursive DFT/IDFT: VLSI algorithm and architecture," in Proc. IEEE Workshop on Signal Processing Systems (SiPS), pp. 579-584, Nov. 2005.
[55] L. D. Van, C. T. Lin and Y. C. Yu, “VLSI architecture for the low-computation cycle and power-efficient recursive DFT/IDFT Design,” IEICE Trans. Fundamentals, vol.E90
[56] C.C.W. Hui, T.J. Ding, and J. V. McCanny, “A 64-point Fourier transform chip for video motion compensation using phase correlation,” IEEE J. Solid-State Circuits, , vol. 31, issues 11, pp. 1751-1761, Nov. 1996.
[57] C. T. Lin, Y. C. Yu and L. D. Van, “A Low Power 64-Point FFT/IFFT Design for IEEE 802.11a wireless LAN Application,” Proc. IEEE Int. Symp. On Circuits and System, pp. 4523-4526, May. 2006.
[58] E. Cornu, N. Destrez, A. Dufaux, H. Sheikhzqadeh and R. Brennan, “An ultra low power, ultra miniature voice command system based on hidden markov models,” IEEE Inter. Conf. on Acoustics, Speech, and Signal Proc., vol. 4, pp. 3800-3803, May 2002.
[59] S. Bouguezel, M. O. Ahmad, and M. N. S. Swamy, “A New Radix-2/8 FFT Algorithm for Length-q x 2m DFTs,” IEEE Trans. On Circuits and Systems I, vol. 51, pp.1723-1732, Sep. 2004.
[60] L. Jia., Y. Gao, J. Isoaho, and H. Tenhunen,” A new VLSI-oriented FFT algorithm and implementation,” Proc. Eleventh Annu. IEEE Int. ASIC Conf., pp. 33-341, 1998.
[61] Y. Jung, H. Yoon and K. Jaeseok, ”New efficient FFT algorithm and pipeline implementation results for OFDM/DMT applications,” IEEE Trans. on Consumer Electronics, vol. 49, issues 1, pp. 14-20, Feb. 2003.
[62] A. V. Opppenheim and R. W. Schafer, Discrete-Time Signal Processing. Englewood Cliffs, NJ: Prentice-Hall, 1989.
[63] P. Duhamel and H. Hollmann, “Split-radix FFT algorithm,” Electronic Letters, vol. 20, No. 1, pp. 14-16, Jan., 1984.
[64] C. S. Burrus, “Index mapping for multidimensional formulation of the DFT and convolution, ” IEEE Trans. Acoust., Speech, Signal Processing, ASSP-25(3): 239-242, June 1977.
[65] K. K. Parhi, “VLSI Digital Signal Processing Systems: Design and Implementation,” NY: Wiley, 1999.
[66] L. D. Van, Y. C. Yu, C. M. Huang, C. T. Lin, "Low computation cycle and high speed recursive DFT/IDFT: VLSI algorithm and architecture," in Proc. IEEE Workshop on Signal Processing Systems (SiPS), pp. 579-584, Nov. 2005.
[67] L. R. Rabiner and B. Gold, “Theory and Application of Digital Signal Processing,” NJ Prentice-Hall Inc., 1975.
[68] S. C. Chen, C. T. Yu, C. L. Tsai, and J. J. Tang, “A new IFFT/FFT hardware implementation structure for OFDM applications,” IEEE Asia-Pacific Conf. on Circuits and Systems, vol. 2, pp.1093-1096, Dec. 2004.
[69] A. M. Despain, “Fourier transform computer using CORDIC iterations,” IEEE Trans. Comput., C-23, pp. 993-1001, Oct. 1974.
[70] G. Bi and E. V. Jones, “A pipelined FFT processor for word-sequential data,” IEEE Trans. Acoust., Speech, Signal Processing, vol. 37, pp. 1982-1985, Dec. 1989.
[71] J. Garcia, J. A. Michell and A. M. Buron, “VLSI configurable delay commutator for a pipeline split radix FFT architecture,” IEEE Trans. Signal Processing, vol. 47, pp. 3098-3107, Nov. 1999.
[72] H. Jiang, H. Luo, J. Tian and W. Song, “Design of an efficient FFT processor for OFDM systems,” IEEE Trans. On Consumer Electronics, vol. 51, pp. 1099-1103, Nov. 2005.
[73] Y. W. Lin and C. Y. Lee, “Design of an FFT/IFFT Processor for MIMO OFDM Systems,” IEEE Trans. On Circuits and Systems I, vol. 54, issues 4, pp. 807-815, Apr. 2007.
[74] S. F. Hsiao, Y. H. Hu, T. B. Juang and C. H. Lee, “Efficient VLSI Implementations of Fast Multiplierless Approximated DCT Using Parameterized Hardware Modules for Silicion Intellectual Property Design,” IEEE Trans. on Circuits and Systems I, vol. 52, no. 8, pp. 1568-1579, Aug. 2005.
[75] “DVCAM format overview,” Sony, http://www.sony.ca/dvcm/brochures.htm.
[76] A. Silva, P. Gouveia, and A. Navarro, “Fast multiplication-free QWDCT for DV coding standard, “ IEEE Trans. on Consumer Elec., vol. 50, no. 1, Feb. 2004.
[77] A. Ichigaya, M. Kurozumi, N. Hara, Y. Nishida and E. Nakasu, “A method of estimating coding PSNR using quantized DCT coefficients”, IEEE Trans. Circuits Syst. Video Technol., vol. 16, no. 2, Feb. 2006.
[78] Y. P. Lee, T. H. Chen, L. G. Chen, M. J. Chen, and C. W. Ku, “A cost effective architecture for 8×8 two-dimensional DCT/IDCT using direct method,” IEEE Trans. Circuits Syst. Video Technol., vol. 7, pp. 459-467, June 1997.
[79] S. F. Hsiao and W. R. Shiue, “ A new hardware-efficient algorithm and architecture for computation of 2-D DCTs on a linear array”, IEEE Trans. Circuits Syst. Video Technol., vol. 11, no. 11, pp. 1149-1159, Nov. 2001.
[80] P. A Ruetz, P. Tong, D. Bailey, D. A. Luthi, and P. H. Ang, “A high performance full-motion video compression chip set, “ IEEE Trans. Circuits Syste. Video Technol., vol. 2, no. 2, pp. 111-121, June 1992.
[81] Y.-T. Chang and C.-L. Wang, “New systolic array implementation of the 2-D discrete cosine transform and its inverse,” IEEE Trans. Circuits Syst. Video Technol., vol. 5, pp. 150-157, Apr. 1995.
[82] A. Madisetii and A. N. Willson, “A 100 MHz 2-D 8×8 DCT/IDCT processor for HDTV application, “ IEEE Trans. Circuits Syst. Video Technol., vol. 5, no. 2, pp. 158-164, Apr. 1995.
[83] G. A. Jian, C. D. Chien and J. I. Guo, “A memory-based hardware accelerator for real-time MPEG-4 Audio Coding and Reverberation,” IEEE Inter. Symp. on Circuit and Syst., pp. 1569-1572, May 2007.
[84] R. Pandey and M. L. Bushnell, “Architecture for variable-length combined FFT, DCT and MWT transform hardware for multi-modeWireless system,” IEEE Inter. Conf. on Embedded Syst., pp. 121-126, Jan. 2007.
QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top