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说明：  基于MATLAB实现图像线性量化的源码，通过输入量化参数实现不同等级量化(Based on MATLAB to achieve linear quantitative image source, by entering the quantization parameters to achieve different levels of quantization)

Uppal is a prototype verification tool to maodel and verify prototype

cavity flow Matlab code.

适合初学者从入门到精通matlab编程所用，带有十三个部分的源代码，层层递进，个人感觉不错！(Suitable for beginners matlab programming from entry to the proficient use, with thirteen parts of the source code, progressive layers, personal feeling good!)

一个不错的 svm 工具箱, 希望对大家有用(Svm toolbox of a good, useful for all of us hope)

[t, y]=EULER_forward_ODE(f, t0, y0, tend, Niter) 欧拉向前逼近法求解微分方程初值问题 f定义了函数f（t，y）的 t0时的初始值定义吨 Y0的定义y的初始值( [t, y]=EULER_forward_ODE(f, t0, y0, tend, Niter) Euler forward approximation method to solve IVP ODEs f defines the function f(t,y) t0 defines initial value of t y0 defines initial value of y)

在Matlab的Simulink下实现的电机闭环测速系统仿真(The Simulink in Matlab to achieve the motor closed-loop system simulation speed)

一个有关人脸识别的程序，是PCA和SVM的，可以运行(a code about face recognition)

duobinary conversion for agiven input symbols

[model] = SVMTRAIN(X, Y, C, kernelFunction, tol, max_passes) trains an SVM classifier and returns trained model. X is the matrix of training examples. Each row is a training example, and the jth column holds the jth feature. Y is a column matrix containing 1 for positive examples and 0 for negative examples. C is the standard SVM regularization parameter. tol is a tolerance value used for determining equality of floating point numbers. max_passes controls the number of iterations over the dataset (without changes to alpha) before the algorithm quits.