linear_array_Wiener_Holf

emd分解程序，和hht变换程序，适合初学者，希望对大家有用。(emd decomposition process, and the hht transformation program, suitable for beginners, and hope to be useful.)

Fuzzy logic methods implemented by Matlab

在进行综合评价时，可运用可拓学理论，为此本人提供了一段基于matlab的可拓程序(Conducting a comprehensive evaluation, using extension theory, for which I provided the period based on matlab Extension program)

tfsa的工具箱，包括了wvd一系列的时频域处理工具。使用方法，直接将该压缩包拷贝到任意目录，解压，使用matlab添加该路径就可以。(Tools to deal with non-stationary signal including a series of wvd. You can use it by uncompressing and including it in the matlab.)

Control of induction generator

KNN算法实现，初始化模糊成员等级 initialize fuzzy membership grades of sample output for fuzzy KNN(initialize fuzzy membership grades of sample output for fuzzy KNN)

说明：  matlab键盘输入模型程序，用simulink制作。在7.0以上版本直接运行 运行过程中按一下键盘就会看到示波器上出现一个脉冲信号。(Matlab keyboarding model procedures used Simulink production. In version 7.0 to run over the course of operation under the keyboard will see what appeared on an oscilloscope pulse signal.)

T-S预测控制,matlab仿真程序，需要的朋友可以看看(TS predictive control, matlab simulation program, you need friends can see)

chkil about me for matlab

PLS - DN是一个有限的牛顿为解决非退化的分段线性系统的算法。 PLS - DN的展品可证明半迭代 财产即在全球范围内的精确解在有限数量的迭代算法收敛。被证明是收敛速度 至少前终止线性。 广泛的算法是在我们的AISTATS 2011纸描述：“一个非退化的分段线性系统的有限牛顿算法”。此演示包重新运行 在解决非负最小二乘法（NNLS）问题上的三个稀疏的设计矩阵，从哈威尔波音收集（达夫等人，1989年）第4.2节的实验。 随着PLS - DN，此演示包建议实施五 其他NNLS求解：LCP_Fisher_Newton，LCP_Lemke，PQN，TRESNEI，和SCD (PLS- DN is a finite non-degenerate Newton to solve the piecewise linear system algorithms. PLS- DN exhibits semi-iterative property to prove that the exact solutions worldwide in a limited number of iterative convergence. Proved to be terminated before the linear convergence rate at least. A wide range of algorithms in our AISTATS 2011 paper describes: " a non-degenerate sub-linear systems with limited Newton algorithm." This demo package to re-run in the settlement of non-negative least squares (NNLS) on the design of the three sparse matrices from the Harwell Boeing collection (Duff et al, 1989) Section 4.2 of the experiment. With PLS- DN, this demonstrates the implementation of five other NNLS package proposed solution: LCP_Fisher_Newton, LCP_Lemke, PQN, TRESNEI, and SCD)