期刊文献+

基于L_0范数约束非相邻系数FIR数字滤波器设计 被引量:2

Design of FIR Filter with Non-Adjacent Coefficient Based on L_0-Norm Constraint
下载PDF
导出
摘要 传统有限冲击响应滤波设计时,均默认滤波器系数相邻。该文提出了采用L0范数约束的非相邻系数有限冲击响应滤波器设计模型,保持其线性相位特性,通过增加滤波器设计的自由度,以少量的系统延时为代价来提高滤波器性能。并采用遗传算法来解该非凸优化模型,进一步推导出近似解的求解方法,降低了算法复杂度。计算机仿真结果表明,在相同的阶数下,该滤波器模型较传统模型有更小的逼近误差。 For traditional finite-impulse-response (FIR) filter, designers usually default to that the coefficient should be adjacent. In this paper, we propose a new model of the FIR filter based on the L0-norm, which improves the performance of FIR filter by increasing few delays and keeps the linear phase at the same time. Genetic algorithm is proposed to solve the proposed non-convex optimization model. An approximate solution is derived based on the result of genetic algorithm to reduce the computational burden. Computer simulation results demonstrate its lower approximation error compared with traditional FIR filters with the same filter order.
出处 《电子科技大学学报》 EI CAS CSCD 北大核心 2013年第2期200-204,共5页 Journal of University of Electronic Science and Technology of China
基金 中央高校基本科研业务费基础研究项目(ZYGX2010J027)
关键词 FIR滤波器 遗传算法 最小二乘准则 L0范数 非相邻系数 FIR filter genetic algorithms least squares L0-norm non-adjacent coefficient
  • 相关文献

参考文献16

  • 1RONALD E C, LAWRENCE R R. Interpolation and decimation of digital signals---a tutorial review[J]. Proceedings of the IEEE, 198 l, 69(3): 300-33 1.
  • 2HOWARD D H. Digital filters with equiripple or minimax responses[J]. IEEE Transactions on Audio and Electroaeousties. 1971.19( 1): 87-93.
  • 3THOMAS W P, JAMES H M. Chebyshev approximation for nonrecursive digital filters with linear phase[J]. IEEE Transactions on Circuit Theory, 1972, 19(2): 189-194.
  • 4YONG C L, JU-HONG L, CHEN C K, et al. A weighted least squares algorithm for quasi-equiripple FIR and IIR digital filter design[J]. IEEE Transactions on Signal Processing, 1992, 40(3): 551-558.
  • 5ALGAZI V R, MINSOO S. On the frequency weighted least-square design of finite duration filters[J]. IEEE Transactions on Circuits and Systems, 1975, CAS-22(12): 943-953.
  • 6ADAMS J W. FIR digital filters with least-squares stopbands subject to peak-gain constraints[J]. IEEE Transactions on Circuits and Systems, 1991, 39(4): 376-388.
  • 7JOHN W A, JAMES L S. Peak-constrained least-squares optimization[J]. IEEE Transactions on Signal Processing, 1998, 46(2): 306-32 I.
  • 8KENNETH S, THOMAS W P, JAMES F K. Meteor: a constraint-based FIR filter design program[J]. IEEE Transactions on Signal Processing, 1992, 40(8): 1901-1909.
  • 9ZHANG Ji-dong, JIA Dong-li, 1 Kuil FIR" digital filters design based on chaotic mutation particle swarm optimization[C]//ICAL1E [S.1.]: [s.n.], 2008.
  • 10HIME A O, ANTONIO P, MAR1ANE R P. Frequency domain FIR filter design using fuzzy adaptive simulated annealing[J]. Circuits, Systems, and Signal Processing, 2009, 28(6): 899-911.

同被引文献10

引证文献2

二级引证文献13

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部