Foundations-of-Fuzzy-Control---A-Practical-Approa

PCA/LDA/LPP/TensorLPP/代码。 LPP是目前一种比较重要的子空间算法。基于Tensor的子空间算法，是传统PCA/LDA算法的进一步推广，具有重要意义。(PCA/LDA/LO/TensorLPP/code. Alignment is a more important subspace algorithm. Based on the Tensor subspace algorithm, is a traditional PCA/LDA further promote algorithm is of great significance.)

能够在matlab的平台上根据基音频率的不同分别出男女生(In matlab to on the platform of the pitch of the frequency of different respectively according to the men and women living )

阶次分析的程序包，用于非平稳信号的特征提取。(Order Analysis package for non-stationary signal feature extraction.)

图像置乱加密。 主要思想：从两幅图像中选取信息，然后置乱成一幅图像。(Image scrambling encryption. The main idea: to select information from two images, and then scrambling into an image.)

convert Lab space to XYZ space

说明：  若锗中含有一定数量的杂质元素Sb，试根据要求分析杂质浓度与电离度以及电离温度之间的关系： （1）当Sb浓度分别为 和 时，计算杂质99％，90％和50％电离时的温度各为多少？ （2）根据一定杂质类型和杂质浓度，画出电离度和温度的关系图线，并确定半导体处于强电离区（电离度>90％）的温度范围。 设计要求：（1）具有友好输入输出界面； （2）调整输入数据，得出相应结果，并进行分析。 (If the germanium containing a certain number of impurity elements Sb, test analysis in accordance with the requirements of impurity concentration and ionization degree, as well as the relationship between the ionization temperature: (1) When the Sb concentration and time were calculated 99 percent of impurities, 90 and 50 ionization When the temperature of each number? (2) according to certain types of impurities and impurity concentration, ionization degree and temperature to draw the relationship between the graph lines, and to determine the semiconductor in a strong ionization zone (ionization degree)

说明：  用MATLAB可视化编程界面实现简单的二维函数作图(Visual programming interface with MATLAB simple two-dimensional mapping function)

增广递增的最小二乘法，用于辨识，其中噪声信号使用的是M序列。(Augmented incremental least squares method, for identification, which the noise signal using the M sequence.)

此程序使用MATLAB实现 利用升余弦滚降特性来检测信道质量(This program uses MATLAB implementation using raised cosine roll-off characteristics to detect the channel quality)

人工鱼群算法在 IEEE电力系统规划中的应用程序(Artificial fish-swarm algorithm in power system planning applications)