lifted_ILC

逆短时傅立叶变换源代码.适合于非稳态的时频联合分析,可直接用于MATLAB编程,无解压密码.(inverse Fourier transform source code. Suited to the non-steady-state joint time-frequency analysis can be used directly in MATLAB programming, without extracting passwords.)

说明：  共轭梯度算法，非常经典，大家相互交流，如果大家有更好的资源也上传啊，非常感谢(Conjugate gradient algorithm, very classic, everyone to communicate,)

【转】协同过滤代码，用于推荐系统，包括基于项目和基于用户两种情况。实现基于用户和基于项目的协同过滤算法。 实验所用数据为MovieLens – a web-based movies recommender system with 43,000 users & over 3500 movies. 保存在ga.mat文件用，由于ga.test测试集过于庞大，全部用来计算的话耗时庞大，所以每次计算时随机选择部分，具体函数的使用请参照probar.m。我所得到的实验结果保存在results1-results8.mat里面。([Turn] collaborative filtering code for the recommended system, including project-based and user-based two cases. User-based and project-based collaborative filtering algorithm. Experimental data for MovieLens- a web-based movies recommender system with 43,000 users & over 3500 movies. Saved in ga.mat file with Because ga.test test set is too large, all used to calculate the time-consuming massive, so every time The calculated random selection portion, the use of the specific function, please refer to probar.m. I obtained experimental results are saved inside results1-results8.mat.)

Space photo resection method

matlab extreme machine learning

Fast search for Dirichlet process mixture models (This code implements the search algorithms (modulo a few minor changes) described in the Fast search for DPMMs paper at AI-Stats 2007. It should work out of the box with a reasonably recent version of matlab. Currently the code only contains the Dirichlet/Multinomial case, but the Gaussian case can be hacked in in about 5 minutes.)

核密度估计(kde)的工具箱,我是在做背景建模的时候遇到这方面问题找到的,希望对大家有点用处.(nuclear density estimates (kde) Toolbox, I was doing background modeling, encountered this issue to find, and I hope to you a bit useless.)

alpha-beta滤波器的仿真程序，在雷达数据处理中有广泛应用。 本程序还比较了不同alpha-beta滤波器的性能。(This is a program about alpha-beta filter in radar data processing. )

Image sharpening using Laplacian

各种控制，从难到易，需要的可以看看，主要部分是神经智能控制，不多解释了(A variety of control, from difficult to easy, we need to look at the main part is the neural intelligent control, no more and no explanation of)