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基于DSP Builder的格型FIR滤波器的设计与实现 被引量:3

Design and realization of the lattice FIR filter using DSP builder
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摘要 目的研究提高格型FIR滤波器的运算速度、优化硬件资源利用率的方法。方法研究了格型FIR滤波器结构特点,提出了一种改进的格型FIR滤波器结构。并基于FPGA芯片,利用DSPBuilder技术,将MatLab/Simulink设计工具和QuartusⅡ设计工具有效的结合起来,设计了所提出的改进的格型FIR滤波器。结果通过计算机仿真分析,改进后的格型FIR滤波器的最高工作频率和占用的LE等性能指标有了很大提高。结论DSP Builder是进行数字信号处理的一种有效方法。所提出的改进的格型FIR滤波器能够提高格型FIR滤波器的运算速度,降低硬件资源利用率。 Aim To research the new approach to accelerate the operation and optimize the availability of hardware resource in lattice FIR filter.Methods The structure features of lattice FIR filter were introduced.A new improved structure is presented,and designed by use of DSP Builder Tool which combines MatLab/Simulink and Quartus Ⅱdesign tools in FPGA chips.Results By computer simulating,Max frequency of lattice FIR filter is higher than before,the number of LE used is reduced.Conclusion It is more effective to process digit signal by using DSP Builder.This new improved lattice FIR filter can accelerate the operation and optimize the availability of hardware resource.
出处 《西北大学学报(自然科学版)》 CAS CSCD 北大核心 2008年第5期727-730,共4页 Journal of Northwest University(Natural Science Edition)
基金 陕西省自然科学基金资助项目(2006F13) 陕西省教育厅科学研究计划基金资助项目(06JK198)
关键词 格型FIR滤波器 FPGA DSP 逻辑单元 lattice FIR filter field programmable gate array digital signal processing logical element
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参考文献5

  • 1宋焕生,赵祥模,王养利.秩选择非线性滤波器及其优化[J].西北大学学报(自然科学版),2006,36(3):389-392. 被引量:2
  • 2孙松.基于FPGA的梯度自适应格型滤波器设计[J].信息技术,2007,31(9):88-90. 被引量:1
  • 3TRAC D T, RICARDO L Q. Linear-phase perfect reconstruction filter bank : Lattice structure, design, and application in image coding [ J ]. IEEE Transactions on Signal Processing, 2000,48 : 133-147.
  • 4GOH Chee-kiang. An efficient algorithm to design weighted minimax perfect reconstruction quadrature mirror filter banks [ J]. IEEE Transactions on Signal Processing, 1999, 47:3303-3314.
  • 5潘松,等.现代DSP技术[M].西安:西安电子科技大学出版社,2003.

二级参考文献16

  • 1宋焕生,王养利,吴成柯.加权顺序统计滤波器的新的表示与优化算法[J].西安电子科技大学学报,2004,31(6):886-890. 被引量:7
  • 2齐海兵,梅开乡.基于FPGA的流水线LMS自适应滤波器设计[J].微计算机信息,2007(17):223-224. 被引量:4
  • 3ARCE G R,GALLAGHER N C,NODES T A.Median filter:Theory and applications[M] //HUANG T S.Advances in Computer Vision and Image Processing.Grcenwich Conn:JAI Press,1986,2:90-166.
  • 4YIN L,NEUVO Y.Fast adaptation and performance characteristics of FIR-WOS hybrid filters[J].IEEE Trans on SP,1994,42(7):1 610-1 628.
  • 5NIEMINEN A,HEINONEN P,NEUVO Y.A new class of details-preserving filters for image processing[J].IEEE Trans on PAMI,1987,9(1):74-90.
  • 6COYLE E J,LIN J H,GABBOUJ M.Optimal stack filtering and the estimation and structural approaches to image processing[J].IEEE Trans on ASSP,1989,37 (12):2 037-2 065.
  • 7BARNER K E,ARCE G R.Permutation filters:A class of nonlinear filters based on set permutation[J].IEEE Trans on SP,1994,42(4):782-798.
  • 8BOVIK A C,HUANG T S,MUNSON D C.A generalization of median filtering using linear combinations of order statistics[J].IEEE Trans on ASSP,1983,31 (6):1 342-1 350.
  • 9PALMIERI F,BONCELET C.Ll filters-a new class of order statistic filters[J].IEEE Trans on ASSP,1989,37(5):691-701.
  • 10VLSI数字信号处理系统:设计与实现[M].Parhi K K,陈弘毅,等译.北京:机械工业出版社,2004:311-350.

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