CPSspwm_3levels_Inverter

用matlab画圆( create circle)

说明：  （本科生课程设计）主要实现的功能是设计一个恒压恒频正弦波逆变电源，具体参数如下：单相交流输入220V/50Hz，输出单相交流电压110V/50Hz,THD<5 ,负载为一般的阻感负载，功率1500W。利用matlab中simulink实现仿真功能。(The main functions of the (undergraduate curriculum design) is designing a constant voltage constant frequency sine wave inverter, specific parameters are as follows: single-phase AC input 220V/50Hz, output single-phase AC voltage 110V/50Hz, THD &lt 5 load general resistance inductive load, power 1500W. Matlab in simulink simulation capabilities.)

matlab implementaion of guided filter example

LED单珠光源的特性对配光具有重要影响，本程序从配光要求这个角度对不同厂家的LED灯的质量进行分析。(the property of LED is very important for using, and the program can envalue the quality of LED light source.)

kmean函数详细说明，很不错哦！真的很好！(kmean function details, very good, oh!)

ind motor matlab ind motor matlab ind motor matlab

用于计算图象点灰度-区域灰度直方图的函数,用MATLAB语言实现.(used to calculate the gray image point-regional gray histogram function using MATLAB.)

功率谱估计的各种方法的matlab代码 包括AR模型，ESPRIT,周期图谱，MUSIC，PISARENKO等方法(Power spectrum estimation method matlab code, including the method of AR model, ESPRIT, the cycle map, the MUSIC, PISARENKO etc.)

说明：  低通滤波器 基于MATLAB的低通滤波器，Z变换实现(low-pass filter based on MATLAB low-pass filter, Z transform)

基于最小二乘支持向量机理论,结合某风电场实测风速数据,建立了最小二乘支持向量机风速预测模型。对该风电场的风速进行了提前1h的预测,其预测的平均绝对百分比误差仅为8.55 ,预测效果比较理想。同时将文中的风速预测模型与神经网络理论、支持向量机(support vector machine,SVM)理论建立的风速预测模型进行了比较。仿真结果表明,文中所提模型在预测精度和运算速度上皆优于其他模型。 (Based on least squares support vector machine theory, combined with a wind farm measured wind speed data, the establishment of a wind vector machine forecasting model of least squares support. The velocity of the wind farm were predicted in advance 1h, the mean absolute percentage error of only 8.55 of its forecast, forecast effect is ideal. While the text of the wind speed forecasting models and neural networks, support vector machines (support vector machine, SVM) wind speed prediction models were compared with established theories. Simulation results show that our proposed model on prediction accuracy and computing speed are superior to other models.)