This paper presents a model of cosine basis functions neural network based on BP algorithm, discusses the relation between the algorithm of neural network and amplitude-frequency characteristic about the linear phase FIR filter, introduces the convergence
This paper presents a model of cosine basis functions neural network based on BP algorithm, discusses the relation between the algorithm of neural network and amplitude-frequency characteristic about the linear phase FIR filter, introduces the convergence
摘要提出了一种基于BP算法的正弦基函数神经网络模型及算法的收敛条件，研究了该神经网络算法与FIR线性相位滤波器幅频特性的关系，给出了高阶双通带滤波器的优化设计实例。