main

感知器是神经网络里面的一个重要分类器，本例子采用matlab实现单个神经元感知器，分类效果较好~(Perceptron neural network which is an important classifier, using the example of the realization of a single neuron matlab perceptron, classification better ~)

蚁群算法, 求解旅行商问题matlab源程序， 31个城市，直接运行(Source of ant colony algorithm for TSP, Can be run directly,matlab,Traveling Salesman Problem,Ant Colony Algorithm,matlab program,31 city)

CRC循环检测算法，CRC32的算法，可算得余数和商(CRC32 algorithm, and the remainder can be considered as business)

this simulation is a way for watermarking and steganography with j-uniward

输入一副图像，检测图像的RGB，并输出其值的矩阵，将符合公式R>Rt，R>G>B,S>=(255-R)*S/R,等的图像点标记出来，并输出图像(A pair of input images, the image detecting RGB, and outputs the value of the matrix, would be consistent with the formula R> Rt, R> G> B, S> = (255-R)* S/R, and other image point marked, and output image)

说明：  一个详细的matlab完成的hopfiled网络的代码，可以作为神经网络学习的实例。(Completed a detailed hopfiled network matlab code can be used as examples of neural network learning.)

用matlab仿真LMS算法和RLS算法的收敛性，并对rls算法和lms算法做比较(Matlab simulation with the LMS algorithm and RLS algorithm convergence, and rls algorithms and lms algorithm to compare)

自适应均衡器的仿真程序：基于抽头系数，遗忘因子，噪声方差，初始化的延迟信号设计输入信号，利用LMS 算法建立自适应均衡器滤波信号。(Adaptive equalizer simulation program: based tap coefficients, forgetting factor, noise variance, the initialization of the input signal delayed signal design, the use of the LMS algorithm to establish adaptive equalizer filter signal.)

Laurent是对CPM信号的在数学上的严格推到，能够精确地重构CPM信号，简化的Laurent分解可以近似表示CPM信号，在解调时能够极大地简化复杂度(Quotient is a value that is a value for a percentage of a that is a value that is a value of a value that is a value of a value that is a value that is a value of a value that is a value of a value that is a value of a value UFF0C u7B80 u5316 u7684Laurent u5206 u89E3 u53EF u4EE5 u8FD1 u4F3C u8868 u793ACPM u4FE1 u53F7 uFF0C u5728 u89E3 u8C03 u65F6 u80FD u591F u6781 u5927 u5730 u7B80 U5316 u590D u6742 u5EA6)

matlab(viterbi编码程序)程序，关于信道编码的(matlab(viterbi))