DSP-JamshidBahrami-3

matlab program numerical methods

说明：  关于径向基函数神经网络、两个典型的反馈神经网络Hopfield网络、Elman网络的简单示例，适合初学者掌握径向基函数网络和反馈网络的神经网络工具箱函数，为全面学习这两类网络打下基础。(The simple examples of radial basis function neural network, two typical feedback neural networks Hopfield network and Elman network are suitable for beginners to master the neural network toolbox functions of radial basis function network and feedback network, which lays a foundation for comprehensive learning of these two types of networks.)

进行时频分析需要的东东，现在把它分享出来，希望大家喜欢(Need for time-frequency analysis of the East, and now to share it out, hope you like)

对信号进行时域平均分析，提起周期性信号，常用于故障诊断(Time domain signal analysis)

用matlab编写的图像复原程序，好用，大家可以试一下-Prepared to use matlab image restoration procedures, easy to use, everyone can try(Prepared to use matlab image restoration procedures, easy to use, everyone can try)

First a estimate of wireless sensor nodes is made and a network mesh will be created based on some topology techniques. A connection has to be established between Node I and all the vicinity nodes.

RBF神经网络用于分类与回归，提供了一个学习神经网络的平台，对大家有很大帮助。(RBF neural network for classification and regression, neural networks provide a learning platform for all of us much help.)

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dijkstra计算最短路径，算法在优化、图像处理、网格处理等相关领域有非常广泛的应用，希望能借此机会了解其实质内容，并灵活应用其到所学领域中。(dijkstra calculate the shortest path algorithm optimization, image processing, mesh processing and other related fields have a very wide range of applications, hoping to take this opportunity to learn about its substance, and the flexibility to apply their learning to the field.)

智能小车是移动机器人的一种，可通过计算机编程来实现其对行驶方向、启停以及速度的控制。要想让智能小车在行驶过程中能成功地避开障碍物，必须对其进行路径规划?，路径规划的任务是为小车规划一条从起始点到目标点的无碰路径。路径规划方法有：BP人工神经网络法（Back Propagation）、机器学习（Reinforcement Learning）、以及模糊控制（Fuzzy　Control）方法等。(There are many ways on autonomous mobile robot obstacle avoidance system designing, which based on fuzzy control of robot obstacle avoidance system is to use the fuzzy logic control system to determine the environmental information around the robot, then plan out a route to the target point with collision-free path. This method has a small footprint, responsive and could be able to cope with relatively complex external environment. In this paper, the main content is fuzzy control theory based obstacle avoidance of mobile robot path planning by research.)