FIR带阻滤波器优化设计研究  

Study on the Optimization Design on the FIR Band-Block Filters

作　　者：扶蔚鹏[1] 刘建华[1] 

机构地区：[1]长沙电力学院电力系,湖南长沙410077

出　　处：《系统工程与电子技术》2001年第12期101-103,共3页Systems Engineering and Electronics

摘　　要：详细讨论了神经网络在FIR线性相位带阻滤波器中的应用。用神经网络方法设计的线性相位带阻滤波器 ,其幅频响应在通带与阻带范围均无过冲与波动现象 ,衰减特性好 ,在 10 0dB以上。给出了FIR线性相位带阻滤波器的设计实例 ,计算结果表明 ,该算法在FIR线性相位滤波器设计中非常有效 ,具有优异性能。We discusses the application of the neural networks in the field of FIR(finite impulse response) band-block filters with linear phase. The linear-phase band-block filters are designed by the neural networks, which characteristic of the amplitute-frequency is no excess-impulsion and ripple. Its attenuation performance is very good and over 100dB in the block-band. The example of the FIR band-block filter with a lineary-phase is presented. The result shows that the algorithm is efficient and excellent in the design of the FIR filters.

关 键 词：神经网络 带阻滤波器 优化设计 FIR滤波器 

分 类 号：TN713[电子电信—电路与系统]