MATLAB_-Programming-Style-Guide

paper about Performance comparison of control schemes for variable-speed wind turbines

MATLAB实现的简单的OFDM模型源代码 这个Matlab程序是关于OFDM调制的。这里使用了BPSK调制，显示OFDM在误码率上的下降。(BPSK modulation with BER with and without OFDM)

These functions have been developed to watch and analyze EEG/Video/Accelero(3A)/Magneto(3M) data in the context of the Epimouv/Capametrim project. The project aim is to recognized epileptic movement disorders by determining regions of interests on the video and classify motor manifestations thanks to 3A3M sensors.

MATLAB实现图形图像的处理，对图像的中值滤波。(MATLAB image processing of graphics, the image median filtering.)

用Mie理论计算双层粒子的散射角——散射光强曲线 1．RB1.m 计算第一类Ricatti-Bessel函数的函数 2．RB2.m 计算第二类Ricatti-Bessel函数的函数 3. Alegendr.m 计算角函数 和 的函数 4. MieCoeff.m 计算包覆粒子米尔系数的函数 5. Amp.m 计算散射光复振幅的函数 6. MieIntensity.m 画包覆粒子散射角-光强图 (Mie theory calculations using double-particle scattering angle- scattering intensity curve 1. RB1.m calculate the first class Ricatti-Bessel function of the function 2. RB2.m calculate the second category Ricatti-Bessel function of the function 3. Alegendr.m computing angle functions and function 4. MieCoeff.m coated particles Mill coefficient calculation function 5. Amp.m calculate the scattering amplitude recovery function 6. MieIntensity.m painting coated particle scattering angle- light intensity diagram)

这是matlab编写的3个常用机器学习分类器代码。其中包括了： 1）PCA 分类其；2）LDA分类器：3）naive贝叶斯分类器。 3个算法的实现参考了《Introduction to Machine Learning》。 除了这3个分类算法的实现外，代码里面还包含了用于测试的main.m 主程序和一个实验的简要报告。实验在著名数据集acoustic_train_data 上进行。(This source code includes the implementation of three famous classifiers in machine learning. They are 1) PCA, 2) LDA and 3) Naive Bayesian. The detail theory behind these classifier can be found text book <<Introduction to Machine Learning>>. Besides the implementation of these 3 algorithms, the main.m for testing and a brief testing report is also included. (The testing is on data set acoustic_train_data) Enjoy:))

基于单因子方差分析粒子群算法,加速因子的设置对算法基本性能(Based on one-way ANOVA PSO algorithm acceleration factor setting basic performance)

用simulink对风电场进行建模分析得到功率以及电流的仿真图(This example uses an initial state vector to start the simulation steady-state. When you make changes to the model (add, delete, rename blocks, etc), the initial state vector needs to be regenerated or disabled, otherwise Simulink signals an error when the simulation is started. To disable the use of initial state vector for this model, go to the Data Import/Export section of the Model Configuration Parameters tool and uncheck the Initial state option under the Load workspace section. To regenerate the initial state vector after a change to the model, follow the instructions given in the initialization file for this model. Type open( init_power_wind_dfig ) at the matlab prompt to view this file.)

matlab code for qpsk modulation technique

采用最小二乘法，样条差值等各种方法进行数值计算，并画出相应的图形(Using the least square method, spline method of difference and other numerical calculations and draw the corresponding graph)