归一化总梯度程序

利用matlab软件，求解二维流体传热算例(Using matlab software for solving two-dimensional fluid heat transfer numerical example)

二维空间中的多边形逼近。确定三个顶点a，b，c并且其函数值按从小到大排列。将二维空间中的多边形三个顶点的函数值按从小到大顺序排列， 判断三点或三点函数值的距离是否小于给定阈值.若小于阈值停止循环，得最优解x0=a(Two-dimensional space polygon approximation. Determine the three vertices a, b, c and its function value in ascending order. The three-dimensional space polygon vertices function values ​ ​ in ascending order, function to determine the three o' clock or three values ​ ​ of the distance is less than a given threshold and if less than the threshold value to stop loop, get the best solution x0 = a)

使用matlab画圆，对图傅里叶变化，零频移中，反变换实验(test fft and ifft)

变压器的开路实验和短路参数实验，参数为240kv，4800/240v；60hz的频率曲线图(The experiment and short circuit transformer parameters, 240kv parameters for the experiment, 48/240v, 60hz frequency curve)

Total Variation Denoising(TV denoising (scalar fidelity term) [ROF92] Reduces the total-variation of the image. Filters out noise while preserving edges. Textures and fine-scale details are also removed. In this demo the assumption is that a white Gaussian noise is added with a-priori known (or estimated) noise power (variance). The fidelity term to the input image is calculated automatically so that the power of the noise is reduced. )

MATLAB不提供现成指数拟合函数，一方面由于但可以轻松通过多项式拟合转化而来，但是使用上还是不如有一个函数方便，所以特写这样一样简单实用的函数(MATLAB does not provide ready-exponential fit function, by hand because it can be easily transformed a polynomial fit, but still not as good as there is easy to use a function, it is as simple close-up of such useful functions)

基于Hough变化的圆检测程序，以及最小二乘法的基本原理(Hough circle detection based on changes in procedures and the basic principle of least squares)

nmi算法和ari算法的matlab实现。(bmi algorithm and ari algorithm matlab implementation.)

说明：  内附matlab常用命令，详细列举了各个命令的中英文对照，方便学习。(Matlab commonly used commands included in detail the various commands listed in Chinese and English to facilitate learning.)

在瑞利衰落和高斯白噪声下qam调制对于不同信噪比的误码率(bit error rate of the Qam modulation in Rayleigh fading and Gaussian white noise for different signal to noise ratio)