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对模糊控制器的设计以及matlab模糊工具箱的学习比较有帮助(pair of fuzzy controller design and fuzzy Matlab toolbox learning more help)

这是一份MATLAB基础课件，由于我也是初学者，这部课件讲的很浅显，但比较适合初学者对MATLAB所有功能的一个初步了解内容包括涵数值数组及其运算， M文件和面向对象编成， 字符串数组， 符号变量， matlab 绘图 及 Simulnk动态仿真。以及两个基本浅显的程序题。此为第 1章。(This is a basic MATLAB courseware, because I am also a beginner, this software is very simple-speaking, but more suitable for beginners of all the features of MATLAB, a preliminary understanding of the content including the Han and its numerical array computing, M documents and for object into string array, variable symbols, matlab graphics and dynamic simulation Simulnk. As well as the two basic procedures for simple questions. This is Chapter 1.)

非线性方程组求解，里面有很多相关的matlab算法例子。希望对大家有用！(Nonlinear equations, there are many examples of related matlab algorithm. Hope it useful!)

说明：  非常好的一本关于图像处理的书籍冈萨雷斯数字图像处理MATLAB版.中文版(A very good book on image processing Gonzalez Digital Image Processing MATLAB version. Chinese)

ROI area identification, iteration, MCAA, zbthresh This program is simple, everyone can learn under

菲涅尔单缝衍射图像，改变波长对图像的影响(Fresnel single slit diffraction image, the image changes affect wavelength)

distance vector based range free localization

Digital band-pass filter design, digital low-pass filter design, the digital noise signal is filtered out of the frequency band, spectrally move to restore the speech signal through a low pass filter

拟牛顿法和最速下降法(Steepest Descent Methods)一样只要求每一步迭代时知道目标函数的梯度。通过测量梯度的变化，构造一个目标函数的模型使之足以产生超线性收敛性。这类方法大大优于最速下降法，尤其对于困难的问题。另外，因为拟牛顿法不需要二阶导数的信息，所以有时比牛顿法(Newton s Method)更为有效。如今，优化软件中包含了大量的拟牛顿算法用来解决无约束，约束，和大规模的优化问题。(The quasi-Newton method and the Steepest Descent Methods only require that each step iterations know the gradient of the objective function. By measuring the change of the gradient, constructing a model of the objective function is sufficient to produce superlinear convergence. This method is much better than the steepest descent method, especially for difficult problems. In addition, because the quasi-Newton method does not require information on the second derivative, it is sometimes more effective than the Newton s Method. Today, the optimization software contains a large number of quasi-Newton algorithm used to solve the unconstrained, constraint, and large-scale optimization problems.)

t检验，通过多样的分析可以得出想要的熵结果。(t-test.you can download it every day.)