s

matlab基本程序，是课本类型的，后面有实用的程序(good)

enjoy with this script of Ovsf in Matlab

这是一个matlab的ppt，对于实现整流逆变应该有用，还有仿真效果图(failed to translate)

C表示 n个城市的坐标，为n×2的矩阵 NC_max为最大迭代次数 m表示蚂蚁个数 Alpha 表征信息素重要程度的参数 Beta 表征启发式因子重要程度的参数 Rho 信息素蒸发系数 Q 信息素增加强度系数 R_best 各代最佳路线 L_best 各代最佳路线的长度(C indicated that the coordinates of n cities, in order to n × 2 matrix NC_max maximum number of iterations m, said the number of Alpha characterization of ant pheromones importance of the parameters of Beta characterization of the parameters of heuristic importance of Rho factor pheromone pheromone evaporation coefficient Q increase the strength factor R_best generations of the best route L_best the length of each generation of the best route)

这篇文章讲述基于相空间重构的模糊集用于复时间序列的暂态模式。文章详细说明关于时间序列的构建、说明暂态识别的概念、原理，优化函数的选择和优化结果等均有很好的步骤和完整实验结果。(This article describes the phase space reconstruction based on fuzzy sets for the transient model complex time series. Article details the construction of time series to illustrate the concept of transient identification, theory, optimal function of the selection and optimization results of the steps are very good and complete results.)

this is one of the best satelite code in the world to find the look angle

复形调优算法，，本算法是改进型算法，它在全局范围内寻找最优点，收敛效果好且快(Complex tuning algorithms, the algorithm is modified algorithm, the scope of its global search for the most advantage of faster convergence and better)

非参数检验中K-S检验的matlab实现(Non-parametric test in the KS test matlab implementation)

generate music signal

Hidden-Unit Conditional Random Fields 工具箱，可以用于训练linearCRF和和L.J.P. van der Maaten, M. Welling 提出的huCRF(We provide Matlab code that implements the training and evaluation of hidden-unit CRFs, as well as code to reproduce the results of our experiments. The code implements four different training algorithms: (1) a batch learner that uses L-BFGS, (2) a stochastic gradient descent learner, (3) an online perceptron training algorithm, and (4) an online large-margin perceptron algorithm. The code can also be used to perform (conditional) herding in hidden-unit CRFs. )