waveletentropy

基于异步分布式价格（ADP）算法的功率控制matlab仿真，利用梯度算法来达到纳什均衡，求得最优解。(Asynchronous Distributed Price (ADP) power control algorithm matlab simulation, using the gradient algorithm to achieve the Nash equilibrium, get the optimal solution.)

2. 要求： ① 收集资料，全面分析课题，分解问题，形成整体编程思路； ② 深入分析各个小问题，编写各部分程序模块； ③ 对于设计中用到的关键函数，要联系问题进行具体介绍； ④ 上机调试，确保程序能正确运行； ⑤ 完成设计报告，并进行答辩。(2. Requirements: ① the collection of information, a comprehensive analysis of topics, decomposition problem, the formation of the overall programming ideas ②-depth analysis of various minor problems, the preparation of the various parts of program modules ③ used for the design of the key function, it is necessary to link the issue of details ④ debugging on the machine to ensure that procedures are functioning correctly ⑤ complete the design report and to respond.)

通过遗传算法对神经网络的结构进行优化,避免参数选取的盲目性(Through genetic algorithms to optimize the structure of neural networks, to avoid the blindness of parameter selection)

两段法解线性规划问题的程序实现，用Matlab实现的附有详细程序和基本介绍(Solving two linear programming problems Matlab implementation, with detailed procedures and a basic introduction to)

This function performs one-dimensional (Cartesian) finite-difference time-domain simulations. It assumes the spatial grid extends from k = 1 to k = Nz and that the simulation runs for nSteps time steps.(1D-FDTD-program(matlab) This function performs one-dimensional (Cartesian) finite-difference time-domain simulations. It assumes the spatial grid extends from k = 1 to k = Nz and that the simulation runs for nSteps time steps.)

LSH 和e2LSH算法，感觉hash函数不怎么好。(LSH and e2LSH algorithm, hash function is not very good feeling.)

svm在matlab中的应用的一些程序以及说明(svm application in matlab some of the procedures)

说明：  MATLAB中的混沌系统的分析方法，包括李雅普诺夫指数等等(MATLAB in the analysis of chaotic systems, including Lyapunov exponents, etc.)

用MATLAB进行FFT频谱分析 用MATLAB进行FFT频谱分析(matlab fft matlab fft matlab fft)

该代码采用matlab和C混合编写，是采用随机梯度的方法训练线性分类器，它可用于数据、图像等的多类分类情况。参考论文：Good Practice in Large-Scale Learning for Image Classification(This a Stochastic Gradient Descent algorithm used to train linear multiclass classifiers. It is biased towards large classification problems (many classes, many examples, high dimensional data).)