GreeFunction

Mathematic Pascal problems. it is a lil bit easy with a triangle structure. and the number inside.

HHT三种源代码：1 法国G.Rilling 2 台湾中央大学 3 matlab交换中心(HHT three sources: 1 France G. Rilling 2 Taiwan Central University 3 matlab switching center)

基带数字传输系统matlab仿真 现代通信系统，使用matlab(Base-band digital transmission system matlab simulation of modern communication systems, the use of matlab)

使用BP神经网络训练数据并且作出预测，比较预测值与真实值的误差。(The use of BP neural network training data and make predictions, comparing predicted and actual values of error.)

线泰勒权的权值产生程序，可作为子函数调用。用于产生低旁瓣的差波束。用于阵列信号处理(line taylor vector, can be applied as sub function. difference beamforming.)

求解离散微分方程组的MATLAB 的原始方程以及程序(Original equations and procedures for solving the discrete differential equations MATLAB)

This MATLAB software implements the denoising algorithm (the Probabilistic Patch-Based filter) for images damaged by multiplicative Nakagami-Rayleigh noise as presented in: Iterative Weighted Maximum Likelihood Denoising with Probabilistic Patch-Based Weights , C-A. Deledalle, L. Denis and F. Tupin, IEEE Trans. on Image Processing, vol. 18, no. 12, pp. 2661-2672, December 2009. It also corresponds to the NL-SAR filter: A non-local approach for SAR and interferometric SAR denoising , C-A. Deledalle, Florence Tupin and Loï c Denis, in the proceedings of IGARSS, Honolulu, Hawaii, USA, July 2010. This software is free and should be used only for nonprofit purposes. Any unauthorized use of this software for industrial or profit-oriented activities is expressively prohibited.

【Matlab界面GUI添加背景图片】：好像桌面背景一样，添加自己想要的背景图片，这里面有个技术，可以让背景不影响GUI界面的文字，edit、text。具体代码下载了解一下吧，平时工作总结的方法。(Matlab interface [GUI] Add a background image: It seems as desktop background, you want to add your own background image, and there are a technology that allows the background without affecting the GUI interface text, edit, text. Specific code to download understand it, the usual method of summing up the work.)

Diophantine 丢番图的求解，很经典，也很简单(Diophantine)

.Sparse coding algorithm.We can also apply it onefficient sparse coding algorithm to a new machine learning framework called "self-taught learning", where we are given a small amount of labeled data for a supervised learning task, and lots of additional unlabeled data that does not share the labels of the supervised problem and does not arise from the same distribution.