基于DCT域的数字水印代码

聚类算法,绝对值距离且比雪夫距离\平均值距离等.matlab程序,GUI界面,有详细说明(Clustering algorithm, the absolute value of the distance and Chebyshev distance the average distance. Matlab program, GUI interface, there is a detailed description)

Hamming code matlab Hamming code matlab Hamming code matlab Hamming code matlab

说明：  给定随机过程，用对偶变量法模拟标的资产的价格路径, 提高一倍速度，并减小一半的标准差(Given random process, with dual variable method for modeling the underlying asset price path, double speed, and reduce the standard deviation of half)

matlab code for example 3-4 adaptive control astrom

运用距离多普勒算法解决点目标成像问题，并且具有运动补偿功能(RD algorithm)

GA遗传算法与PSO离子群组合算法matlab程序，以下是使用本程序的简单介绍与使用步骤 1）修改设计变量个数 NPar变量定义的是设计变量个数，本例为8，使用时需根据自己实际情况进行修改。 2）修改设计变量的上下限 VarLow 与VarHign定义的是设计变量的上下限，使用时需根据自己实际情况进行修改。记住，变量的维数，要与1）变量个数一致哦。 3）修改FunName 变量FunName定义的是优化目标函数值的计算函数，根据自己实际情况改成自己的函数名。 4）修改最大迭代次数MaxIterations 要根据自己的问题实际，通过试算找出合适的MaxIterations数。 如果，你对GA与PSO比较精通，还可以通过修改KeepPercent、CrossPercent来提高算法的效率，但是对于初学者来说，上述的步骤与操作已经足够，所以其它不再赘述。祝你好运！ (GA genetic algorithm and PSO Ion combination algorithm matlab program, the following is a brief description of the use of this procedure with the use of step a) to modify the design variables are defined by the number of NPar variable number of design variables, in this case eight, when used according to need their actual situation changes. 2) modify the design variables on the lower limit is defined VarLow and VarHign upper and lower limits of design variables need to be modified when used according to their actual situation. Remember, dimensions variable, the number to be with a) variable consistency oh. 3) Modify FunName variable FunName definition is to optimize the objective function value calculation function, according to their actual situation into their own function name. 4) Modify the maximum number of iterations MaxIterations issue according to their actual, through spreadsheets to find the appropriate number MaxIterations. If you are more proficient GA and PSO, but also can)

calculating penalty factor for slack bus

KPCA与SVM共同用于人脸识别 SVM提高了分类效果 KPCA是一种借鉴SVM中核函数的一种较好的特征提取方法(KPCA and SVM for face recognition SVM together to improve the classification results from KPCA is a kernel function in SVM a better feature extraction method)

对bpsk,qpsk,16qam,64qam进行数字调制和解调(digital modulation and demodulation to bpsk, qpsk, 16qam, 64qam)

MATLAB与串口的连接的GUI和M文件，很适用的。参照这个设计思路，可以跟句自己的需要进行修改和完善！(MATLAB GUI with the serial connection and M files, it is applicable. Reference to the design ideas, with the sentences to their own needs can be modified and improved!)