-component-analysis

模拟退化算法，用于解决TSP问题，有GUI(Analog degradation algorithm for solving TSP problem, there GUI)

一个小巧有限元计算软件fem的licence和一个例子(A compact fem finite element software and an example of licence)

lena 图像的线性插值 对图像处理的理解很有帮助(lena bilinear)

说明：  uses the Monte Carlo method for a European call.

A cyclic redundancy check (CRC) is an error-detecting code commonly used in digital networks and storage devices to detect accidental changes to raw data.

小波变换时频工具箱，内含各种matlab 程序，仅供参考(wavelet trans tools)

说明：  粒子群算法(pso)标准测试函数验证程序。在一个m文件中包括了目前文献中用于验证的7个标准测试函数(Ackley等)、三维动态显示，粒子过分集中时打散等功能。旨在为学习和研究者pso算法的同仁提供一个功能较为完备、简单易懂的标准版本，对于初学者可以通过此程序快速的实现入门，以便将更多的精力投入到深层次的研究中去！同时愿与所有致力于此的朋友共同探讨pso算法的改进与应用方面(如多目标、动态系统等)的经验。(PSO algorithm (PSO) standard test function verification process. M in a document, including the current literature is used to validate the seven standard test function (Ackley), 3D dynamic display, and the over-concentration of particles scatters when the function. Designed for researchers to study and colleagues at the PSO algorithm to provide a more complete functional and easily understood standard version, for beginners through this program to achieve rapid entry. in order to be more energy into depth study! While willing to work with all the friends here to discuss PSO algorithm improvements and applications (such as multi-target, Dynamic systems, etc.) experience.)

GUI设计，人机界面友好，程序简单实用。matlab初学者可以看看。(GUI design)

Matlab编程实现FFT变换及频谱分析的程序代码，很有用涂的，可以实现(Matlab Programming FFT transform and spectral analysis of the program code, useful for coating can be achieved)

最经典AdaBoost实现，适合初学，有大量详细的注释，容易理解(This a classic AdaBoost implementation, in one single file with easy understandable code. The function consist of two parts a simple weak classifier and a boosting part: The weak classifier tries to find the best threshold in one of the data dimensions to separate the data into two classes-1 and 1 The boosting part calls the classifier iteratively, after every classification step it changes the weights of miss-classified examples. This creates a cascade of "weak classifiers" which behaves like a "strong classifier" 。)