高阶谱分析工具箱，适用于阵列信号处理、雷达信号处理等。...

相似度算法的实现， 在利用支持向量机进行模式分类的时候，有时需要考虑到实时性，为了提高实时性，则利用相似度算法减少样本集个数，从而减少训练时间和支持向量的个数，使得建立起的向量机实时性提高。(Similarity algorithm, support vector machine in pattern classification, it is sometimes need to take into account the real-time, in order to improve real-time, the use of similarity algorithm to reduce the number of sample collection, thus reducing training time and the number of support vectors， improve the real-time of established Vector Machines.)

fruit recognise use matlab

受控自回归滑动平均模型的梯度迭代算法，经过多次迭代计算之后，能够有效的逼近真实值(Controlled autoregressive moving average model of gradient iterative algorithm, after several iterations, can effectively approach the true value)

使用matlab编写遗传算法，解决车辆路径最优化问题。(VRp using GA methods)

Newton optimization algorithm which uses gss algorithm as linesearch.

集成三种算法的神经网络C++代码，经过测试，三种测试均通过

针对一个典型的飞机巡航问题，运用模拟退火算法，解决选择最短路问题(Using simulated annealing algorithm to choose the shortest path problem)

Matlab编写的加窗傅里叶变换及原理。。。(Written in Matlab and principles of windowed Fourier transform)

说明：  此程序是抽样和计算自相关子程序，可以为我们提供参考(This procedure is sampling and calculation of autocorrelation subroutine, you can provide us with a reference)

单输出函数Y=SIN(X)逼近问题的bp程序:假设网络结构为3--2--1，输入维数M,共N个样本,一般输入不算层，输出算层( 激活函数: hardlim---(0,1),hardlims---（-1,1),purelin,logsig---(0,1),tansig----(-1,1) softmax,poslin,radbas,satlin,satlins,tribas 训练算法: 1.traingd,traingdm,traingda(variable learning rate backpropagation),trainrp( resilient backpropagation ) 2.conjugate gradient (traincgf, traincgp, traincgb, trainscg), quasi-Newton (trainbfg, trainoss), and Levenberg-Marquardt (trainlm).)