连续时间信号卷积在matlab中的模拟仿真及在控制系统中的应用
时间:2020-05-30 16:31 来源:毕业论文 作者:毕业论文 点击:次
摘要卷积是信号的基本计算方式之一,本文主要讲述了卷积的定义、计算方法、性质,以及在 MATLAB 中如何计算卷积。并介绍了卷积在控制系统中的应用,即卷积神经网络。讲述了广泛运用于模式识别图像处理等领域的卷积神经网络的起源、发展、优点以及在人脸识别等工程方面的应用。 50099 毕业论文关键字:连续信号;卷积;MATLAB;卷积神经网络 Title The Simulation of Convolution of Continuous-time Singnals in matlab and the Application in Control Theory Abstract Abstract:Convolution is one of the basic calculation methods of signal. In this paper, described the definition, calculation methods and property of the convolution and how to calculate the convolution in MATLAB. Then introduced the application of convolution in control system: convolution neural network. Informed the origin, history,advantage of convolution neural network which is widely used in pattern recognition imagine processing and other fields. And how to use it in face detection. Keywords: continuous time signal; convolution; MATLAB; convolution neural network 目次 1引言1 1.1卷积的发展1 1.2用MATLAB计算卷积的可行性1 2卷积的相关定义与性质3 2.1连续时间信号卷积的定义3 2.2卷积的定义4 2.3卷积的引入4 2.4卷积性质3 2.5卷积的计算方法6 3用MATLAB计算卷积11 3.1MATLAB计算卷积的理论依据11 3.2MATLAB计算卷积的代码实现11 4卷积神经网络17 4.1卷积神经网络的发展17 4.2神经网络优点18 4.3神经网络的应用19 结论21 致谢22 参考文献23 图1信号的脉冲分解图4 图2卷积计算过程结果9 图3卷积14 图5时间间隔为0.5的连续信号的卷积仿真图16 图6时间间隔为0.05的连续信号的卷积仿真图16
图7卷积神经网络结构图20 |