example09_01

convert file.txt to .mat

code for neural network classifier

分类算法，参数分别为G（相似度矩阵），r（邻居门限），lambda（类门限），返回值A，一个cell数组，每个元素是一个向量，包含了一个类的所有元素。(Classification algorithm parameters are G (similarity matrix), r (neighbor threshold), lambda (class threshold), the return value A, a cell array, each element is a vector containing all the elements of a class.)

Matlab的运动目标分割 车辆检测 平均建模背景差分(Matlab moving object segmentation of vehicle detection modeling background difference on average)

A Comparative Study of Metaheuristic Methods for Transmission Network Expansion Planning

最优化算法中，单纯形表法+两步法的matlab实现，通过两个实例调用两个函数实现(Optimization algorithm, matlab tableau method+ two-step method of implementation, call the two functions by means of two examples of the realization)

说明：  通信系统仿真,QPSK调制与解调,主要针对差分解调方式,对于matlab初学者以及做通信仿真的人员有很好的参考价值(communications system simulation, QPSK modulation and demodulation, the main differential demodulator, for beginners and Matlab done Communication Simulation of a very good reference value)

Perceptron.M algorithm

PSO for beginner propose to minimize f(x)=100(x2-x12)2 + (x2-1)2

说明：  加信噪声，单边带调幅，设计波特滤波器，过滤噪声，比较经过希尔伯特变换前后的区别(Plus letter noise, single-sideband amplitude modulation design Potter filters, filter noise comparison, after the difference between before and after the Hilbert transform)