Soup

说明：  该算法主要是基因遗传优化算法，非常实用，能有效解决权值确定。(The algorithm is mainly genetic optimization algorithm is very practical, can effectively solve the right to determine the value.)

主要是摩擦学方面的东西，进行分析时需要的(failed to translate)

Solar Converter and Wind hybrid power system

kalman filter 凯尔曼滤波 航迹关联(kalman filter imm)

matlab实用教程，pdf格式 分章描述，含大量实例(Practical matlab tutorial pdf format)

dct隐写技术matlab实现资料。算法原理：通过在一个图像块中调整两个DCT系数的相对大小，隐藏秘密信息。 将载体图像分为8×8的块，做二维DCT变换 用来表示选中的两个系数的坐标对于第i bit秘密信息 if（要隐藏信息‘1’） make else make 逆DCT变换，还原图像 (dct steganography matlab implementation information. Algorithm principle: an image block by adjusting the relative size of the two DCT coefficients, hidden secret information. The vector image is divided into 88 blocks, making two-dimensional DCT transform coefficients used to represent the coordinates of the selected two for the first i bit secret information if (to hide information ' 1 ' ) make else make the inverse DCT, restore image)

通信原理实验matlab仿真中衰落环境下的十六进制振幅相位联合键控 (Matlab simulation of communication theory experiment hexadecimal fading environment combined amplitude phase shift keying)

最优分类法，用于找出数据的变差举证，并确定分类数(Optimal classification of evidence used to identify the data variation and to determine the number of classification)

说明：  图像降维方法pca和kpca的matlab程序(Image dimensional reduction pca and kpca the matlab program)

针对二维熵图像分割方法在求取最佳阈值时存在计算量大及微粒群算法容易陷 入局部最优且速度较慢等等问题, 提出了基于混沌粒子群优化算法的二维熵图像分割方法。 该方法考虑了图像中像素点灰度􀀂 􀀂 􀀂 邻域灰度均值对作为阈值对图像进行分割 利用混沌运 动随机性、遍历性和初值敏感性, 将混沌粒子群优化算法与阈值法相结合在二维空间作全局搜 索。实验结果表明了基于混沌粒子群优化算法的二维熵图像分割法用于阈值寻优减少了搜索 时间, 提高了收敛率。(Calculation of its large capacity and particle swarm algorithm is easy to fall to strike the best threshold for the two-dimensional entropy image segmentation method Into the local optimum and slower, the proposed two-dimensional entropy image segmentation method based on chaotic particle swarm optimization algorithm. The method takes into account the image pixel the gray 􀀂 􀀂 􀀂 neighborhood average gray value as a threshold for image segmentation chaotic transport Dynamic randomness, ergodicity and initial value sensitivity of chaotic particle swarm optimization algorithm with the threshold method in two-dimensional space for the global search On request. Experimental results show that the entropy method of image segmentation method based on chaotic particle swarm optimization algorithm for threshold optimization to reduce the search Time and improve the convergence rate.)