matlab_programe

考虑单独变量之间的相关性，将其变成扩展变量，再用留一法进行数据处理，最后用SVM进行回归(Consider the correlation between individual variables, to expand into the variable, and then leave one for data processing, and finally with SVM regression)

功率谱估计AR和经典普估计，以及平滑的周期图估计，并对其优化。。(AR power spectrum estimation and classical general estimation, and smoothing of the periodogram estimate, and its optimization. .)

图像处理BMP均衡化算法，本来用MATLAB很简单的算法，可是老师要求用C/C++写，还真的有很多学问。(BMP equalization image processing algorithm, originally a very simple algorithm using MATLAB, but the teacher asked to use C/C++ to write, really have a lot of knowledge.)

给定极化状态的相位描述子和幅度描述子，绘制该极化状态的poincare功率球。源代码是matlab子函数，输入参数两个：极化状态的幅度描述子和相位描述子。还有一张示例图(Given the polarization state of the phase and amplitude descriptors descriptors, to draw the polarization state poincare power ball. Functions matlab source code, two input parameters: the polarization state and phase amplitude descriptor descriptor.)

This is a multi-level voltage svpwm space vector control algorithm for motor controlThis is a multi-level voltage svpwm space vector control algorithm for motor controlThis is a multi-level voltage svpwm space vector control algorithm for motor control

this project on image impainting of gray image. this project repair the damage part of image from getting information from the image.

Interactive smoothing for time-series signals, with sliders that allow you to adjust the smoothing parameters continuously while observing the effect on your signal dynamically. Run SmoothSliderTest to see how it works.

this is matlab souce code with commication subject. it is good for others.

08年到11年的光伏并网逆变的ieee文献以及光伏的仿真(grid-connected pv system papers of ieee from 2008 to 2011 and some simulations)

分析了支持向量回归机在能源需求预测中的优势,确定了输入向量集合和输出向量集合,建立了基于Matlab技术的SVR能源需求预测模型.对我国1985-2008年能源需求相关数据进行模拟与仿真,并对中国2010年和2020年能源需求量进行预测.研究结果表明:一是中国未来对能源的需求量逐渐增加,从2010年的330400万吨标准煤上升到2020年418320万吨标准煤,年均增长率为2.39％；二是在解决我国能源系统小样本.非线性及高维模式识别问题中SVR比BP神经网络等方法有更高的预测精度.(Support vector regression analyzes advantage in energy demand forecast to determine the set of input vectors and output vector set, established SVR energy demand forecasting model based on Matlab technology. Energy demand for our 1985-2008 related data modeling and simulation , and China in 2010 and 2020 energy demand forecast results show that: First, China s increasing demand for energy in the future, from 3.304 billion tons of standard coal in 2010 rose to 4.1832 billion tons of standard coal in 2020, average annual growth rate of 2.39 second is to solve our energy system small sample nonlinear and high dimensional pattern recognition problem SVR higher prediction accuracy than the BP neural network method.)