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Volume 27 Issue 11
Nov.  2005
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Wang Xiao-hua, He Yi-gang, Peng Yu-lou. Optimum Design of 2-D Linear-Phase FIR Digital Filters[J]. Journal of Electronics & Information Technology, 2005, 27(11): 1755-1759.
Citation: Wang Xiao-hua, He Yi-gang, Peng Yu-lou. Optimum Design of 2-D Linear-Phase FIR Digital Filters[J]. Journal of Electronics & Information Technology, 2005, 27(11): 1755-1759.

Optimum Design of 2-D Linear-Phase FIR Digital Filters

  • Received Date: 2004-06-01
  • Rev Recd Date: 2004-11-17
  • Publish Date: 2005-11-19
  • This paper provides a new design approach based on a Neural Networks Algorithm(NNA). According to the amplitude-frequency response characteristics of 2-D FIR linear-phase filters ,the NNA is established .Using the NNA,the designed filter coefficients can be obtained from the specified amplitude-frequency responses.To ensure stability of the NNA, the convergence theorem of the NNA is presented and proved. Two examples including circularly-symmetric and quadrately-symmetric 2-D lowpass linear-phase FIR filtsrs are also given to illustrate the effectiveness of the NNA-based design approach,and the results show that the ripple is considerably small in passband and in stopband,and the NNA-based method is of strong stability and requires significantly little amount of computations.Therefore,the optimal design approach is effective and excellent in the design field of 2-D linear phase FIR digital filters.
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