case24-cases-fuzzy-neural-network

solar mppt model design

说明：  该代码主要实现的功能是空时编码误码率，误码率随着信道的变化而变化(THE BER OF THE SPACE BASE CODE，the ber varied with the channel)

一个无源滤波器参数自动生成程序，通过matlab运行输入已知参数就能获得RLC参数(A passive filter parameters automatically generated program, enter the known parameters will be able to run through matlab RLC parameters)

基于MATLAB下的背景差分算法，通过第一帧和中间帧以及最后帧得出背景。(Based on the background subtraction algorithm under the matlab programming language, through the first frame and the middle frame and the last frame background.)

一种混沌吸引子的演示程序，非常适合初学者研究和使用。 (A chaotic attractor of the demo program is very suitable for beginners to study and use.)

说明：  Matlab编程手册，一些编程的问题基本都能在这解决。(Matlab programming manual, some basic programming issues to resolve in this can.)

完成信号和调制与频谱分析.并进行相关的图形显示(completed with the modulation signal and spectrum analysis. And the graphics)

- K means algorithm is performed with different initial centroids in order to get the best clustering. - The total cost is calculated by summing the distance of each point to its cluster centre and then summing over all the clusters.Based on the minimum overall cost achieved during each iteration of iterKMeans the pixel assignment to their respective clusters are made and final compressed image is obtained. This algorithm will run slower as the number of clusters , size of the image and number of iterations increase.

贝叶斯压缩感知以及分布式贝叶斯压缩感知的算法实现，很好的范例(Bayesian Bayesian compressed sensing and distributed compressed sensing algorithm, a good example)

Fuzzy Logic, at present is a hot topic, among academicians as well various programmers. This book is provided to give a broad, in-depth overview of the field of Fuzzy Logic. The basic principles of Fuzzy Logic are discussed in detail with various solved examples. The different approaches and solutions to the problems given in the book are well balanced and pertinent to the Fuzzy Logic research projects. The applications of Fuzzy Logic are also dealt to make the readers understand the concept of Fuzzy Logic. The solutions to the problems are programmed using MATLAB 6.0 and the simulated results are given. The MATLAB Fuzzy Logic toolbox is provided for easy reference