FIR线性相位滤波器优化设计研究

Study on the Optimization Design of the FIR Filters With Linear Phase

本文详细研究了ＦＩＲ线性相位滤波器的幅频特性与余弦基函数神经网络算法的关系，分析了神经网络系统的稳定条件，给出了ＦＩＲ滤波器优化设计实例。计算机仿真结果表明了该算法的有效性和优异性能。

The relation between the amplitude-frequency characteristic of the FIR (Finite Impulse Response)filters with linear phase and the algorithm of the neural networks based on the cosine basis functions is traversed inthis paper in great detail. The Stabilization of the neural networks system is analyzed. Examples of optimizationdesign on the FIR filters are presented. The efficient and excellent algorithm is shown in the simulation results.