PID-Tuning-using-ICA

wavelet tool for matlab analysis and for wavelet anaylsis

遗传算法，用matlab来实现，图像美观，更接近真实数据(Genetic algorithm, using matlab to achieve, beautiful images, closer to the real data)

this file is a simulation of maximum boost control in z_zource inverter

floyd算法，matlab实现，是.m文件。简单明了(floyd algorithm, matlab realize is. m file. Simple)

MATLAB课件 是电子科技大学的，王小平教授的 传出来供大家参考( MATLAB MATLAB)

本人在硕士毕业论文时使用的和修改的代码，主要是用于使用LDS和NLDS模型对火焰视频进行建模，并可以模拟出来火焰来，同时使用LDS和NLDS模型参数对不同类型视频进行分类（我们主要是对识别火焰），里面有实验结果。(I used in the Master s Thesis and modify the code, mainly for LDS and NLDS model modeling the flame video, and can be simulated flame using both LDS and NLDS model parameters to classify the different types of video (we mainly on identification flame), there are experimental results.)

说明：  使用谢菲尔德大学遗传算法工具箱解决二位函数优化(Sheffield University using genetic algorithms to solve the two function optimization toolbox)

1.Ty01 不同占空比，概率的双极性信号功率谱Matlab仿真 2.Ty02 HDB3编码仿真 3.Ty03 码间串扰仿真(1.Ty01 different duty cycles, the probability of a bipolar signal power spectrum Matlab simulation 2.Ty02 HDB3 encoder emulation 3.Ty03 crosstalk between simulation code)

这个小程序是计算涡轮一级的反动度沿叶高分布的，只要有压力沿叶高分布的.csv文件即可(This program can calculate the reaction in the turbine, it only needs the pressure distribution along radial direction.)

matlab源代码，是非负矩阵分解工具箱，包含乘法更新，最小二乘约束，投影梯度法等方法(Usage: [W,H] = nmf(X,K,alg,maxiter,speak) W: output matrix H: output matrix X: input matrix K: number of components alg: algorithm to use maxiter: maximum number of iterations speak: print to screen Algorithms: mm: Multiplicative updates method using euclidean distance measure. cjlin: Projected gradient method prob: Probabilistic non-negative matrix factorization. als: Alternating least squares. alsobs: Alternating least squares with optimal brain surgeon. Demonstrations: PET: NMF on a PET dataset Text: NMF used on a three different datasets Email, medical, and CNN. Algorithms mm: Multiplicative update method using euclidean distance measure. Described in Lee and Seung, 2001, Algorithms for Non-negative Matrix Factorization, Advances in Neural Information Processing Systems 13, 556-562. This algorithm is the most commonly used algorithm to solve NMF. cjlin: Alternative non-negative least squares using projected gradients. Author: Chih-Je)