FIR滤波器的系统辨识

Sudheesh Kannur Vasudeva Rao, K. Kiran, N. Kumar, M. Mahadevaswamy
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摘要

有限脉冲响应(FIR)滤波器的识别是指找出其传递函数的系数,也称为权重。采用最小均方(LMS)算法自适应滤波,在ATMEGA16处理器上找到传递函数的估计权值。该方法可用于求复杂电阻电路的系数。这是通过不断比较FIR系统与自适应滤波器,直到差分信号为零,这两个系统被馈送相同的输入信号。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
System Identification of FIR Filters
: Identification of Finite Impulse Response (FIR) filters refer to finding out the coefficients also known as the weights of its transfer function. Adaptive filtering using Least Mean Square (LMS) Algorithm is used to find the estimated weights of the transfer function, using ATMEGA16 processor. This method can be used to find the coefficients of complex resistive circuits. This is done by constantly comparing the FIR system with Adaptive filter until the difference signal is zero, both the systems are fed with same input signals.
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