Optimization

一知一组数据，通过matlab求其相应的插值曲线(A known set of data, the corresponding demand by matlab interpolation curve)

Modified jakes model implementation with Walsh Hadamard code. Autocorrelation and cross correlation are the outputs

庞加莱程序 分叉图程序 相图程序 传动系统动力学(poincare progree matlab damping speed accelearte)

对于数据进行主成分分析，并对每一组分的得分进行了计算(Principal component)

这个代码能够比较精确地实现图像中道路区域的分割与提取。(This code addresses this question by decomposing the road detection process into two steps: the estimation of the vanishing point associated with the main (straight) part of the road, followed by the segmentation of the corresponding road area based upon the detected vanishing point. The main technical contributions of the proposed approach are a novel adaptive soft voting scheme based upon a local voting region using high-confidence voters, whose texture orientations are computed using Gabor filters, and a new vanishing-point-constrained edge detection technique for detecting road boundaries.)

求信号的时频熵，对非平稳信号进行emd分解后，求时频熵，得出其故障特征(For the signal s time-frequency entropy, the nonstationary signals are EMD decomposition, and time-frequency entropy, the fault feature)

说明：  蚁群算法是模拟蚁群觅食行为的一种优化算法。在整个觅食过程中蚂蚁散播信息素，蚂蚁通过感知到的信息素多少，来决定所要选择的下一个栅格。蚁群算法的核心部分在于模拟了蚁群的转移概率选择行为，通过使用信息素和启发式函数值进行转移概率计算。粒子群算法可以用于机器人运动轨迹规划，求得最短路径(Ant colony algorithm is an optimization algorithm to simulate foraging behavior of ant colony.The ant disperses pheromones throughout the foraging process. The ant senses how many pheromones it has to choose the next grid.The core part of ant colony algorithm is to simulate the transfer probability selection behavior of ant colony and calculate the transfer probability by using pheromones and heuristic function values.Particle swarm optimization (pso) can be used for robot trajectory planning to obtain the shortest path)

Fuzzy Anti-Windup Schemes for PID Controllers

matlab gui设计学习手册》 第二版 2012新版 第八章源码 matlab gui the second edition(matlab gui the second edition)

本代码主要提供了在频域使用fastica进行盲源分离，并且解决了频域的排列和增益两个歧义性问题。(This code mainly provides the use of fastica in the frequency domain for blind source separation, and solves the frequency domain arrangement and gain of two ambiguity problems.)