基于蚁群算法的图像边缘检测 MATLAB源程序

说明：  thanks it useful ihope to used

动态系统仿真例子，使用matlab语言，四阶龙格-库塔发(Dynamic system simulation example, the use of matlab language, fourth-order Runge- Kutta-fat)

保证准确无误，是学习通信的好帮手，小波包分析提取振动信号中的特征频率，DC-DC部分采用定功率单环控制。( Ensure accurate communication is learning a good helper, Wavelet packet analysis to extract vibration signal characteristic frequency, DC-DC power single-part set-loop control.)

说明：  基于matlab的例子群算法故障诊断实例(Example group algorithm fault diagnosis based on MATLAB)

使用分解聚类算法在IRIS数据上进行聚类分析，IRIS数据是由鸢尾属植物的三种单独的花的测量结果所组成，模式类别数为3，特征维数是4，每类各有50个模式样本，总共有150个样本。(The use of decomposition in the IRIS data clustering algorithm on the cluster analysis, IRIS data are from the iris flower three separate components of the measurement results, models for category 3, 4 are characteristic dimension, of each type of each 50 model samples, a total of 150 samples.)

This file is about to plot the actuator matlab.m file

径向基函数神经网络的优点：逼近能力，分类能力和学习速度等方面都优于BP神经网络，结构简单、训练简洁、学习收敛速度快、能够逼近任意非线性函数，克服局部极小值问题。原因在于其参数初始化具有一定的方法，并非随机初始化。代码为RBF的matlab程序，可以使用但是需要自己配置数据。(Radial Basis Function Neural Network (RBF-NN) has the advantages of better approximation ability, classification ability and learning speed than BP Neural Network (BP Neural Network). It has simple structure, simple training, fast learning convergence, and can approximate any non-linear function to overcome the local minimum problem. The reason is that its parameter initialization has a certain method, not random initialization.)

包含各种matlab仿真的源程序，同时从基础上开始介绍matlab的使用，包括矩阵运算等。(Includes a variety of matlab simulation of the source, also introduced from the beginning based on the use of matlab, including matrix operations, etc..)

DPSK信号调制解调干扰性能分析，自己写的代码仅供参考！(DPSK signal modulation and demodulation performance analysis of interference, to write the code for reference purposes only!)

说明：  正弦信号，单个频率的正弦信号，频率为1KHz，幅度为5(Sinusoidal signal, a single frequency sinusoidal signal, a frequency of 1KHz, the range of 5)