matlabCritical-SpeedCalculation

实现了多目标遗传算法NSGA2，并带有详细注释及相关论文，读者只需根据具体问题简要修改，即可使用。(Achieved a multi-objective genetic algorithm NSGA2, with detailed notes and related papers, the reader just a brief specific issues in accordance with changes to use.)

偏微分方程的数值解法的MATLAB程序介绍了应用最为广泛的椭圆型、双曲型、抛物型偏微分方程的数值解法，而且还详细编程实现了每种方程的多种常见数值解法。 附件使用MATLAB编程来实现这些算法。 (The numerical solution of partial differential equations of the MATLAB program, introduced the most widely used elliptic, hyperbolic, parabolic partial differential equations numerical solution, but also details of each program to achieve a variety of common numerical solution of equations. Attachments that use the MATLAB program to implement these algorithms.)

一个关于matlab实现的定点仿真程序，FPGA之前的浮点转定点内容(On a fixed-point simulation program matlab implementation, FPGA floating-point turn before the designated content)

说明：  有源电力滤波器(APF:Active power filter)是一种用于动态抑制谐波、补偿无功的新型电力电子装置，它能够对不同大小和频率的谐波进行快速跟踪补偿，之所以称为有源，是相对于无源LC滤波器，只能被动吸收固定频率与大小的谐波而言，APF可以通过采样负载电流并进行各次谐波和无功的分离，控制并主动输出电流的大小、频率和相位，并且快速响应，抵消负载中相应电流，实现了动态跟踪补偿，而且可以既补谐波又补无功和不平衡。(APF:Active power filter))

介绍了一个自适应信号处理课程中的仿真练习，有助于初学者使用matlab对书中的算法进行仿真学习(Introduced a course in adaptive signal processing simulation exercises to help beginners use the matlab simulation of book learning algorithm)

关于MATLAB 交通视频处理,对大家有帮助(Traffic video processing on MATLAB)

Matlab数字图像处理学习笔记--从无到有学习笔记,适合新手学习 (Matlab Image Processing Study Notes- Study Notes from scratch, suitable for novice to learn)

adding noise and removeing point processing drawing histogram histogram equalization histogram matching spatial filtering

基于TS模型的模糊控制器的MATLAB实现(TS model based fuzzy controller MATLAB realize)

FastICA算法，又称固定点(Fixed-Point)算法，是由芬兰赫尔辛基大学Hyvä rinen等人提出来的。是一种快速寻优迭代算法，与普通的神经网络算法不同的是这种算法采用了批处理的方式，即在每一步迭代中有大量的样本数据参与运算。(FastICA algorithm, also known as fixed-point (Fixed-Point) algorithm, University of Helsinki, Finland by Hyvä rinen et al put forward. Is a fast iterative optimization algorithm, with the ordinary neural network algorithm is different from the algorithm used in batch mode, that is, in every iteration step in a large number of samples involved in computing the data.)