Color-SVD-watermarking

基于MATLAB下的语音识别系统，介绍了具体的实现过程，并采用离散马尔科夫模型(Based on MATLAB of speech recognition system, introduced the realization process and discrete markov model)

三相双闭环SVPWM整流器，波形良好，给定值可调节。(Dual closed-loop rectifier waveform is good, for a given value can be adjusted)

EM modeling with matlab

matlab数据结构 算法工具箱, 包括堆栈 队列 2叉树 红黑树 等等(Data Structures & Algorithms Toolbox ==================================== The Data Structures & Algorithms Toolbox provides advanced data structures and algorithms for the Matlab(r) 5 environment. It implements functions to create and destroy singly and doubly linked list, stack, queue, binary tree and red-black (balanced) binary tree. Data elements can be inserted, deleted or searched for. A graphical representation of trees can be shown. All algorithms are clearly written as m-files, which allows the toolbox to be used as a teaching aid in educational data structures courses. This is the first implementation available of advanced datatypes, common in other languages, for Matlab.)

灰色系统理论中的灰色关联度分析法程序，可用于因素之间的关联分析。(Grey system theory gray correlation analysis procedures can be used to analyze correlation between the factors.)

A hardware-in-the-loop simulation of a wind energy conversion system is used to assess a MPPT strategy for different velocities. The actual system is composed of the blade, a mechanical power train, a squirrel cage induction generator and power electronics. The experimental set-up consists of a DC drive connected to the induction generator. The DC machine is controlled to impose the same behavior as the wind turbine to the induction generator. Fluctuations of wind velocity and non-linear characteristics of the turbine are taken into account. All numerous model and controls blocks are organized according to Energetic Macroscopic Representation for real-time implementation. A very simple MPPT strategy without wind velocity measurement is achieved using a look-up table. This strategy includes a rotation speed limitation. Experimental results are provided for weak and medium wind profiles.

实现局部寻找最大值点，通过Matlab软件实现(Local search for maximum points achieved by Matlab software)

Solves matrix equation of type AX+XB+XCX+D = 0 for X being non-square

Rosenbrock函数优化属于无约束函数优化问题，其全局极小值位于一条平滑而狭长的抛物线形状的山谷底部，且为优化算法提供的信息很少，因此找到其全局极小值就显得很困难。根据Rosenbrock函数的这种特性，专门提出了一种改进的PSO算法，该算法引入三角函数因子，利用三角函数具有的周期振荡性，使每个粒子获得较强的振荡性，扩大每个粒子的搜索空间，引导粒子向全局极小值附近靠近，避免算法过早地收敛，陷入局部最优，从而找到Rosenbrock函数的全局极小值。大量实验结果表明，该算法具有很好的优化性能，为某些领域某些特定的类似于Rosenbrock函数的优化问题提供了一种新的思路。(Rosenbrock function optimization functions are unconstrained optimization problems, its global minimum value at a smooth parabolic shape and narrow mountain valley Department, and for the optimization algorithm provides little information, and therefore find its global minimum value becomes very difficult. According to this feature Rosenbrock function, specifically mentioning Out an improved PSO algorithm (PSO-R), the algorithm introduced trigonometric factor, using trigonometric has periodic oscillations, so that each particle to obtain more Strong oscillations of expanding the search space of each particle, the particle is close to nearby guide global minimum, avoiding premature convergence algorithm, into a local optimum, thus Finding the global minimum Rosenbrock function. Experimental results show that the algorithm has a good optimizing performance, similar to some certain areas Rosenbrock function in the optimization problem provides a new way of thinking.)

对一维脉冲信号可去除基底，且做结构函数分析。如果是二维信号，可进行动态谱分析，进行二维高斯函数拟合(Can remove the base and do the structure function analysis of the one-dimensional pulse signal. If it is a two-dimensional signal dynamic spectral analysis, two-dimensional Gaussian function fitting)