Matlab-for-Digital-Signal-Processing_Proakis

说明：  基于MATLAB遗传算法(SGA)实现 基于MATLAB遗传算法(SGA)实现(MATLAB based genetic algorithm (SGA) based on MATLAB genetic algorithm (SGA) to achieve)

function [sys,x0,str,ts] = csfunc(t,x,u,flag) ％ 定义一个连续系统的 S-function(function [sys, x0, str, ts] = csfunc (t, x, u, flag)% definition of a continuous system of the S-function)

选择重传ARQ协议。自行编写，可以运行，注释详细，结构清晰，易于改写。使用队列实现选择选择重传ARQ，设定了传输时延和最大重传次数。(Select the retransmission ARQ protocol.Written by oneself, can run, annotation in detail, the structure is clear, easy to rewrite.Using queue implementation choices to choose the retransmission ARQ, setting the maximum retransmission times and transmission delay.)

Power electronics plays an important role in controlling the grid-connected renewable energy sources. This paper presents a novel adaptive neuro-fuzzy control approach for the renewable interfacing inverter. The main objective is to achieve smooth bidirectional power flow and nonlinear unbalanced load compensation simultaneously, where the conventional proportional-integral controller may fail due to the rapid change in the dynamics of the highly nonlinear system. The combined capability of neuro-fuzzy controller in handling the uncertainties and learning from the processes is proved to be advantageous while controlling the inverter under fluctuating operating conditions. The inverter is actively controlled to compensate the harmonics, reactive power, and the current imbalance of a three-phase four-wire (3P4W) nonlinear load with generated renewable power injection into the grid simultaneously.

matlab程序，用于人脸识别的K均值算法程序，非常有用。(matlab program for K-means algorithm for face recognition program, very useful.)

一个基于PCA_Nicolas的matlab编程，可以实现人脸识别的功能(Based on PCA_Nicolas of matlab programming, face recognition function can be achieved)

matlab非线性预测控制nmpc，源代码程序，很经典(matlab nonlinear model predictive control nmpc, source code, very classic)

matlab GUI初步教程,介绍一些基本的操作及程序(course book)

非平衡数据集的分类问题经常出现在许多实际应用中.支持向量机在处理这一类问题时,整体分类性能比较低.为此,Veropoulos提出的采用不同惩罚系数的改进算法可以较好的解决此类问题.此外,可以利用序列最小优化算法简单快速的解决上述优化问题.(Non-equilibrium data sets classification problems often appear in many practical applications. Support Vector Machine in dealing with this type of issue, the overall classification performance is relatively low. To this end, Veropoulos proposed punishment coefficient using different algorithms can improve the better solution such issues. In addition, can use the Sequential Minimal Optimization algorithm is simple and fast solution to the above optimization problem.)

kohonen网络Matlab实现案例，内含具体语句说明，十分详细。 该案例 的准确率在70 左右(ANN(Kohoen))