MATLAB-functiongdictionory

说明：  MATLAB是一个非常好的用于测量，分析和可视化的数据，控制仪器，并建立测试系统。安捷伦信号和频谱分析仪可让您分析失真，虚假的，相位噪声，用于2G到4G无线通信测量。这种Matlab下开发的高级数据可视化（ADV）的应用软件，扩展了安捷伦信号和频谱分析仪的可视化功能，提供了四个不同的显示格式：Analog Advanced, Analog Plus, Waterfall,和Spectrogram。这些显示使得更加容易捕获间歇性信号。(MATLAB is a very good for the measurement, analysis and visualization of data, control apparatus, and to establish test systems. Agilent signal and spectrum analyzers lets you analyze distortion, false, phase noise, for 2G to 4G wireless communication measurements. This developed under Matlab Advanced Data Visualization (ADV) of the application software, the expansion of the Agilent signal and spectrum analyzer visualization capabilities, providing four different display formats: Analog Advanced, Analog Plus, Waterfall, and Spectrogram. These shows make it easier to capture intermittent signals.)

交互信息EXIT图的构建，有助于多迭代算法的理解(Interactive information on EXIT chart building, contribute to the understanding of the iterative algorithm)

使用MATLAB做图像处理，包括求灰度图、均衡化以及各种直方图，也可进行曲线拟合，求亮度曲面分布，和图像的均值与方差，便于学习(Use MATLAB to do image processing, including seeking grayscale, and a variety of histogram equalization, but also for curve fitting, seeking surface brightness distribution, and the mean and variance of the image, easy to learn)

说明：  智能微电网PSO优化算法，比较全，推荐下载。(PSO optimization algorithm for smart microgrid.)

这些都是些有关用matlab语言实现的小程序，主要是关于gui界面的(These are some of the matlab language with a small program focused mainly on the gui interface)

les algorithmes chekout et dv-hop en matlab

MATLAB纹理特征提取可实现平均值、标准差、三阶矩，熵、平滑度一致性(MATLAB texture feature extraction)

这是《Matlab数字图像处理》这本书的源码。(This is the source of "Digital Image Processing in Matlab " )

(有源代码)数值分析作业,本文主要包括两个部分,第一部分是常微分方程(ODE)的三个实验题,第二部分是有关的拓展讨论,包括高阶常微分的求解和边值问题的求解(BVP).文中的算法和算例都是基于Matlab计算的.ODE问题从刚性(STIFFNESS)来看分为非刚性的问题和刚性的问题,刚性问题(如大系数的VDP方程)用通常的方法如ODE45来求解,效率会很低,用ODE15S等,则效率会高多了.而通常的非刚性问题,用ODE45来求解会有很好的效果.从阶次来看可以分为高阶微分方程和一阶常微分方程,高阶的微分方程一般可以化为状态空间(STATE SPACE)的低阶微分方程来求解.从微分方程的性态看来,主要是微分方程式一阶导系数大的时候,步长应该选得响应的小些.或者如果问题的性态不是太好估计的话,用较小的步长是比较好的,此外的话Adams多步法在小步长的时候效率比R-K(RUNGE-KUTTA)方法要好些,而精度也高些,但是稳定区间要小些.从初值和边值来看,也是显著的不同的.此外对于非线性常微分方程还有打靶法,胞映射方法等.而对于微分方程稳定性的研究,则诸如相平面图等也是不可缺少的工具.值得提出的是,除了用ode系类函数外,用simulink等等模块图来求解微分方程也是一种非常不错的方法,甚至是更有优势的方法(在应用的角度来说).((Source code) numerical analysis homework, this docment includes two parts, the first is ordinary differential equations (ODE) of the three examples, the second part is about the expansion of the discussion, including the higher-order ordinary differential & boundary value solution Problems (BVP). the text of the algorithm and numerical examples are based on the Matlab. ODE from the rigid (STIFFNESS) look into the issue of non-rigid and rigid problem, rigid problems (such as large coefficient VDP equation) such as using the always method ODE45 used to solve the problems , efficiency will be low, with ODE15S the other hand, many of the high efficiency. and the usual problem of non-rigid, there will be used to solve ODE45 very good results. Judging from the order can be for high-order differential equations and first-order ordinary differential equations, higher-order differential equations can be transformed into a general state space (STATE SPACE) used to solve the low-order different)

核主元分析程序，利用核函数将非线性数据映射到线性空间，再利用主元分析提取特征数据。(KPCA procedure uses the kernel nonlinear data mapped into linear space, and then using principal component analysis to extract feature data.)