004

Compression Denoising enhanced procedures for your reference. Include: digital image data display matrix and its Fourier transform two-dimensional discrete cosine transform image compression method using gray-scale transformation of the contrast-enhanced images using two-dimensional median filter function by medfilt2 of salt and pepper noise image filtering using MATLAB The function affected by noise interference filter2 images mean filter Adaptive Image Filtering Wehner use five kinds of different gradient method to enhance image sharpening images of high-pass filtering and mask treatment using Butterworth (Butterworth) low pass filter noise by smoothing the images deal with the use of Butterworth (Butterworth) high-pass filter for sharpening images treatment

全部信息熵的计算，包括信息熵，条件信息熵以及信息增益。附带Andrew的信息增益教程(All information entropy calculations, including information entropy, conditional entropy and information gain. Andrew incidental information gain Tutorials)

经典的系统辨识算法，主要是在《过程辨识》方崇智, 萧德云著书。(System identification algorithm, mainly in the process identification of Fang Chongzhi, Xiao Deyun wrote the book.)

MVAcauchy plots three probability density functions (left) and three cumulative density functions (right) of the Cauchy distribution with m = 0 and different scale parameters (C1 stands for a Cauchy distribution with s = 1, etc).

说明：  求解poisson方程的经典有限元程序！(a classical fem program for poisson equation)

This a ddk filter sample for keyboard

rake接收的matlab代码，不是simulink(rake receiver of the matlab code, not the simulink)

利用小波变化，实现两幅前后景清晰度不同的图像的融合，获得一副清晰图像(Using wavelet transform, to achieve two different images before and after the King definition of integration, access to a clear picture)

matlab的源代码 模拟电子运动的源代码(matlab)

对于具体实验时，通常不是先给出函数的解析式，再进行实验，而是通过实验的观察和测量给出离散的一些点，再来求出具体的函数解析式。又因为测量误差的存在，实际真实的解析式曲线并不一定通过测量给出的所有点。最小二乘法是求解这一问题的很好的方法，本实验运用这一方法实现对给定数据的拟合。(For specific experiments, usually not first given function analytic formula, and then experiment but given by the experimental observation and measurement of a number of discrete points, and come back to find the specific function analytic formula. And because the presence of measurement error, the actual real analytic curve does not necessarily pass through all points of measurement given. The least squares method is a good way of solving this problem, the experimental use of this method of fitting the given data.)