A-new-class-of-flat-top-windows-for-exposure-asse

基于matlab实现的循环谱估计算法，可以对具有循环平稳特点的信号进行参数估计，如直扩信号和周期调制信号(Matlab-based spectrum estimation algorithm to achieve the cycle, you can have the characteristics of the signal cyclostationary parameter estimation, such as the DS signal and the periodic modulation)

利用小波变换含有突变点的信号进行谐波检测，得到信号突变时刻(Wavelet transform the signal with the harmonic mutations detected by the signal point mutation)

This function gives as output the absorption coefficient of a cloud layer

it is a file to watermark the image file in matlab

EM算法在神经网络中的应用，可以用来进行视频数据分类。(In this demo, I use the EM algorithm with a Rauch-Tung-Striebel smoother and an M step, which I ve recently derived, to train a two-layer perceptron, so as to classify medical data (kindly provided by Steve Roberts and Will Penny from EE, Imperial College). The data and simulations are described in: Nando de Freitas, Mahesan Niranjan and Andrew Gee Nonlinear State Space Estimation with Neural Networks and the EM algorithm After downloading the file, type "tar-xf EMdemo.tar" to uncompress it. This creates the directory EMdemo containing the required m files. Go to this directory, load matlab5 and type "EMtremor". The figures will then show you the simulation results, including ROC curves, likelihood plots, decision boundaries with error bars, etc. WARNING: Do make sure that you monitor the log-likelihood and check that it is increasing. Due to numerical errors, it might show glitches for some data sets.)

决策树源代码，用matlab语言编写的，适用于分类及相关问题的分析(Decision tree source code, written with matlab language, suitable for classification and analysis of the related problem)

about matlab programs

关于短路仿真的一些源程序同时是有关多目标优化的源程序(Some source of short-circuit emulation is also the source for multi-objective optimization)

Dynamic Voltage Restorer with fuzzy control

说明：  :针对遗传算法易陷入局部最优的不足,在标准遗传算法基础上加入了三个新的操作- 复原、重构和录优操作,使改 进后的遗传算法收敛于全局最优,并在此基础上以路边约束、动态避障和路径最短作为适应度函数,提出了动态避障的路径 规划方法。通过实验仿真验证了算法的有效性、准确性和实时性,并与基于以往的遗传算法的路径规划方法进行比较,结果 表明本文提出的方法在产生的路径长度和算法运行时间上都具有更优的性能。(: Genetic algorithm for the lack of easy to fall into local optimum, in the standard genetic algorithm based on the insertion of three new operations- rehabilitation, reconstruction, and excellent operational record, so that the improved genetic algorithm converges to the global optimum, and in this by the roadside on the basis of constraints, dynamic obstacle avoidance and the shortest path as the fitness function is proposed dynamic obstacle avoidance path planning method. Simulation results through experiments the effectiveness of the algorithm, accuracy and real-time, and with previous genetic algorithm based path planning method to compare the results show that the method proposed in the resulting path length and algorithms have a running time better performance.)