| 基于神经网络的数字滤波器无波纹优化设计 |
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| 引用本文： | 戴俊,瞿成明,郝玲玲.基于神经网络的数字滤波器无波纹优化设计[J].四川理工学院学报(自然科学版),2013,26(2):48-52. |
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| 作者姓名： | 戴俊 瞿成明 郝玲玲 |
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| 作者单位： | 安徽工程大学电气工程学院,安徽芜湖,241000 |
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| 摘 要： | 窗函数法设计的FIR滤波器已被广泛应用,但滤波器边界频率不易精确控制,不能分别控制通带与阻带的纹波幅度,在阻带边界频率附近的衰减最小。采用神经网络算法使所设计滤波器频响与理想频响之间的全局误差在通带与阻带内最小,使通带阻带无波动无过冲,阻带有更大的衰减,通带与阻带的边界频率容易控制。采用以上方法设计了一低通滤波器并在TMS320C5402 DSP上进行了实验,实验结果验证了算法的可行性,并改善了滤波器的性能。
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| 关 键 词： | 神经网络 FIR滤波器 窗函数法 DSP |
Ripple-free Optimization Design for Digital Filter Based on Neutral Networks |
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| DAI Jun
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QU Cheng-ming
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HAO Ling-ling.Ripple-free Optimization Design for Digital Filter Based on Neutral Networks[J].Journal of Sichuan University of Science & Engineering:Natural Science Editton,2013,26(2):48-52. |
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| Authors: | DAI Jun QU Cheng-ming HAO Ling-ling |
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| Institution: | (College of Electrical Engineering,An Hui Polytechnic University,Wuhu 241000,China) |
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| Abstract: | FIR filter designed by the window function method has been widely used,but the filter boundary frequency is not easy to control precisely and can not control the passband and stopband ripple amplitude respectively.Attenuation in the stopband near the boundary frequency is minimal.The design of FIR filter based on neutral networks algorithm have the minimum global error between the filter frequency response and the ideal frequency response in the passband and stopband,and make the passband and stopband no fluctuation and no overshoot;Stopband has greater attenuation;Filter boundary frequency is easy to control precisely.At last,the FIR filter based on the above method is implemented with DSP.The experimental results verify the feasibility of the algorithm and the performance of the filter is improved. |
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| Keywords: | neutral networks algorithm window function method FIR Filter DSP |
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