线性神经网络在周期信号傅立叶变换中的应用

Application of Linear Neural Networks on Fourier Transform of Periodic Signals

提出一种利用线性神经网络进行周期信号傅立叶变换的方法.首先介绍傅立叶变换和线性神经网络的基本原理以及线性神经网络权值的确定方法;然后给出使用线性神经网络对周期信号进行分解的具体步骤.最后给出仿真实验结果.

A method of Fourier transform of periodic signals is presented based on linear neural network. Firstly the basic principles of linear neural networks and Fourier transform are introduced; meanwhile computational method of linear neural network weights is given; secondly the steps of periodic signals decompositions is given on the basis of linear neural networks. Finally the simulation experimental results are obtained.