LoadForecasting

关于MIMO-OFDM的matlab和simulink仿真程序或模型（有OFDM的simulink仿真模型，有mimo-ofdm的信道估计仿真程序）。里面包含7个文件夹，是我做MIMO-OFDM论文时找的，都是可用的，欢迎下载。(MIMO-OFDM on the matlab and simulink simulation program or model (with the simulink simulation model of OFDM, a mimo-ofdm channel estimation simulation program). Which contains seven folders, is what I do MIMO-OFDM find papers are available are welcome to download.)

基于双树小波通用隐马尔可夫树模型的图像压缩感知(Compressive Sensing for Image Using Orthogonal Wavelet Transform and Orthogonal Matching Pursuit Algorithm)

说明：  用于特征降维，特征融合，相关分析等多元数据分析的fisher鉴别分析（FLDA）Matlab代码实现。(For feature reduction, feature fusion, correlation analysis, multivariate data analysis of the fisher discriminant analysis (FLDA) Matlab code implementation.)

说明：  用Matlab画出玫瑰，原来程序可以这么浪漫(plot a rose with matlab,romantic program)

用标准粒子群算法对PID控制器参数进行整定优化，效果理想(The standard particle group algorithm of PID controller parameters optimization setting, ideal effect )

弹道方程组的三个阶段仿真程序 通过将其分成三个阶段 分别得到数值解(Equations of the three-stage ballistic simulation program will be divided into three stages through to obtain numerical solutions were)

KMEANSK Performs K-means clustering given a list of feature vectors and k The argument k indicates the number of clusters you want the data to be divided into. data_vecs (N*R) is the set of R dimensional feature vectors for N data points. Each row in data_vecs gives the R dimensional vector for a single data point. Each column in data_vecs refers to values for a particular feature vector for all the N data points. The output data_idxs is a N*1 vector of integers telling which cluster number a particular data point belongs to. It also outputs centroids which is a k*R matrix, where each rows gives the vector for the cluster center. If we want to segment a color image i into 5 clusters using spacial and color information, we can use this function as follows:

说明：  智能控制仿真GUI界面，对离散化的受控对象进行不同方式的控制（包括传统PID控制、模糊PID控制、神经PID控制和专家及仿人智能控制），然后通过分析不同条件下的单位阶跃响应指标，比较各控制方式之间的差异及控制特点。(intelligent control GUI)

快速边缘的块稀疏贝叶斯学习代码,BSBL-FM,用以对穿墙雷达块目标成像(Fast marginalized block sparse Bayesian learning codes)

说明：  加权的支持向量机分类matlab代码，有效减少特征数量，附带数据，下载cvx优化工具包后可以直接运行(Weighted support vector machine classification matlab code, effective in reducing the number of features, with the data, download cvx optimization toolkit can be run directly after the)