szycha

用Matlab实现的规划问题，可以直接运行(To complete the guihua problem by matlab language)

说明：  matlab GUI教程，是我在网上花钱买来的 很适合广大研究者(tutorial matlab GUI, I bought online to spend money very suitable for the majority of researchers)

一本软硬件协同验证的书,介绍HDL 和如何使用CMODEL和SYSTEM C, 不同语言去做协同验证的资料。(A book of hardware and software collaborative verification of HDL and how to use the CMODEL and SYSTEM C, different languages to do validation data together.)

hrrp，svm，利用支持向量机分类识别一维距离像的飞机目标，程序详细，可作为例程学习，望有帮助(HRRP, SVM, using support vector machine (SVM) classification recognition as a d distance of aircraft target, procedures detailed, can be used as an example ChengXueXi, hope have help )

MATLAB 用于数学的数学上的数据分析的材料，源码，上面有很微分积分等方法(MATLAB for the mathematical data analysis, mathematical materials, source code, there are differential points above and other methods)

《Applied Speech and Audio Processing With Matlab Examples》是Cambridge University Press 2009的新书。大家从书的名字里就能知道这本书是干什么的了。("Applied Speech and Audio Processing With Matlab Examples" is a new book published by Cambridge University Press in 2009. We can learn from it title what the book is used for.)

采用遗传算法优化传统PID控制，选取了合适的优化函数，采用实数编码(Genetic algorithm to optimize the traditional PID control, select the appropriate optimization function using real-coded)

Traveling Salesman Problem (TSP) has been an interesting problem for a long time in classical optimization techniques which are based on linear and nonlinear programming. TSP can be described as follows: Given a number of cities to visit and their distances from all other cities know, an optimal travel route has to be found so that each city is visited one and only once with the least possible distance traveled. This is a simple problem with handful of cities but becomes complicated as the number increases.

信号与线性系统的常用Matlab程序源代码(signal and linear systems used Matlab source code)

名为k-means的MATLAB函数，实现k均值算法。输入矩阵X,w，输出最终估计值和聚类的标识数字。(Called the k-means of the MATLAB function, to achieve k means algorithm. Input matrix X, w, the output value of the final estimates and cluster identification number.)