fdct_wrapping_matlab_Demo

Minhashing和LSH算法。用于查找和比较一个pair是否是相似的。并分析false negative和false positive的值(Minhashing and Locality-Sensitive-Hashing (LSH). The algorithms are approximate in that they find only candidate pairs that are likely similar. Therefore, there are two types of error. A false positive (FP) is a candidate pair that is not actually similar according to the given similarity threshold. A false negative (FN) is a similar pair that is not a candidate pair. In this project, we will implement the Minhashing and LSH algorithms, apply them on data sets, and draw observations about when these algorithms perform. )

说明：  压缩包中为美国北卡罗来纳州大学推出的遗传算法优化工具箱GAOT，以方便遗传算法的使用。(Archive for the University of North Carolina introduced the genetic algorithm optimization toolbox GAOT, to facilitate the use of genetic algorithms.)

基于k_l的人脸识别，费了很大力气搜来的，与大家分享一下。(K_l-based face recognition, a lot of trouble to search for, share with you.)

Introduction of the Particle Swarm Simulated Annealing Algorithm in Function Optimization

基于matlab模拟大学物理中的波形，以便观察其动态变化(University physics-based simulation matlab waveform in order to observe the dynamic changes)

说明：  提出的方法(DC-ADMM-P)采用了一种新的策略，即使用consensus ADMM来解决DC-DOPF-CET的对偶问题，而只揭示相邻子系统之间的边界分支信息。此外，通过减少双乘子的误码率和采用改进的乘子更新步骤，提高了DC-ADMM-P的收敛性能。(the ADMM-based distributed approaches disclose boundary buses and branches information among adjacent subsystems. As opposed to these methods, the proposed method (DC-ADMM-P) adopts a novel strategy which uses consensus ADMM to solve the dual of DC-DOPF-CET while only disclose boundary branches infor-mation among adjacent subsystems. Moreover, the convergence performance of DC-ADMM-P is improved by reducing the num-ber of dual multipliers and employing an improved update step of the multiplier.)

关于turbo编解码的源程序 matlab仿真程序 运行成功(the program about the turbo coding and decoding and it can run succefully)

最小二乘互信息估计法,基于最小二乘法来直接估计互信息。(least-square MI estimator)

Calculates the luminance of a square using Matlab.

用MATLAB做的解方程的程序源程序及演示课件。(do with MATLAB solution to the equation and demonstrate procedures source courseware.)