%0 Journal Article
%T Optimum Design of 2-D Linear-Phase FIR Digital Filters<br>二维线性相位FIR数字滤波器的优化设计
%A Wang Xiao-hua
%A He Yi-gang
%A Peng Yu-lou
%A <br>王小华
%A 何怡刚
%A 彭玉楼
%J 电子与信息学报
%D 2005
%I 
%X 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.
%K 2-D digital filters
%K Linear-phase
%K Neural network
%K Convergence theorem
%K Optimal design<br>二维数字滤波器
%K 线性相位
%K 神经网络
%K 收敛定理
%K 优化设计
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=9811F06C5243DB55F6EEB43AE64312D3&yid=2DD7160C83D0ACED&vid=DB817633AA4F79B9&iid=708DD6B15D2464E8&sid=290C357E8EC0A94B&eid=447D6CC3FC5167A0&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=0&reference_num=13