voice

说明：  边缘检测程序，有各种边缘检测算子，包括sobel等，自己写的源程序，共享(Edge detection process, a variety of edge detection operator, including sobel and so on, to write the source code, sharing)

对自由落体运动进行仿真，并将仿真出来的数据与理论分析数据进行比对。(On the free fall simulation, and simulation and theoretical analysis of the data out of the data for comparison.)

iir滤波器对有噪语音滤波,在matalb上实现(IIR filter noisy speech filtering, on matalb)

MATLAB Turorial Package : Contains 6 PDF documents to elaborate detailed functions in MATLAB

该程序用于matlab读取ENVI标准格式文件，直接运行READFILE，选择需要打开的图像文件即可(The program for the matlab read ENVI standard format files directly run READFILE, select the desired image file can be opened)

使用脉冲响应不变法实现巴特沃兹低通滤波器(Butterworth low-pass filter impulse response invariance)

16QAM预失真 通过信道 及附加白噪声(16QAM pre-distortion by the channel)

This is a demo execution of ECC image alignment algorithm comment two of the three following lines transform = translation transform= affine transform = homography YOU MIGHT NEED MORE ITERATIONS FOR HOMOGRAPHIES!

说明：  逼近线性模型中Ｍ估计分布的随机加权自助法，在一般的条件下证明了这种方法是强有效的。 (Approximate linear model estimated the distribution of M random weighted bootstrap, in general terms that this approach is strong and effective.)

设r是f(x) = 0的根，选取x0作为r初始近似值，过点（x0,f(x0)）做曲线y = f(x)的切线L，L的方程为y = f(x0)+f (x0)(x-x0)，求出L与x轴交点的横坐标 x1 = x0-f(x0)/f (x0)，称x1为r的一次近似值。过点（x1,f(x1)）做曲线y = f(x)的切线，并求该切线与x轴交点的横坐标 x2 = x1-f(x1)/f (x1)，称x2为r的二次近似值。重复以上过程，得r的近似值序列，其中x(n+1)=x(n)－f(x(n))/f (x(n))，称为r的n+1次近似值(Let r is f (x) = 0 root, select the initial approximation x0 as the r, over point (x0, f (x0)) to do the curve y = f (x) the tangent L, L the equation y = f ( x0)+ f ' (x0) (x-x0), find the intersection of L and the x-axis of abscissa x1 = x0-f (x0)/f' (x0), x1 is called an approximation r. Through points (x1, f (x1)) to do the curve y = f (x) the tangent, and find the intersection of the tangent with the x-axis of abscissa x2 = x1-f (x1)/f ' (x1), x2 is called r the second approximation. Repeat the process, get an approximation of the sequence r, where x (n+1) = x (n)-f (x (n))/f ' (x (n)), as an approximation of r n+1 times)