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基于神经网络的FIR多阻带数字滤波器的设计及应用 被引量:2

Multi-band Stop FIR Digital Filter Desing and Its Application Based on Neural Networks
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摘要 针对电子测量系统中的工频50Hz及其二次三次谐波干扰,本文运用BP神经网络设计一个三阻带数字滤波器,利用神经网络权值与FIR数字滤波器脉冲响应之间的关系,得出所设计滤波器的脉冲响应。实验表明,与窗函数法设计的三阻带滤波器相比,基于神经网络的FIR三阻带滤波器具有明显的优越性。 Because of 50Hz interference of industrial frequency and its second and third harmonious waves in electronic measurement system, a three - band stop FIR digital filter has been designed in this paper. The impulse response of the designed filter can be received by the relationship between neural network weights and the impulse response of the FIR digital filter. Experiments show that the three - band stop FIR digital filter based on neural networks has obvious advantages eamparing with the FIR digital filter designed by the method of window - function.
出处 《数学理论与应用》 2008年第2期79-83,共5页 Mathematical Theory and Applications
关键词 BP神经网络 FIR数字滤波器 工频干扰 窗函数 BP Neural Networks FIR Digital Filter Power Line Noise Window Function
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