wind_power_turbine_model

Image Texture Classification Using Combined Grey Level Co-Occurrence Probabilities and Support Vector Machines Texture refers to properties that represent the surface or structure of an object and is defined as something consisting of mutually related elements. The main focus in this study is to do texture segmentation and classification for texture digital images. Grey level co-occurrence probabilities (GLCP) method is being used to extract features from texture image. Gaussian support vector machines (GSVM) have been proposed to do classification on the extracted features. A popular Brodatz texture album had been chosen to test out the result. In this study, a combined GLCP-GSVM shows an improvement over GLCP in terms of classification accuracy.

说明：  MATLAB整数线性规划程序，通过对约束条数的调整，用以求解各类线性规划问题(MATLAB integer linear programming procedures, the number of articles on the adjustment of binding to various types of linear programming problem solving )

可以对信号进行三点五次滤波，减少外在环境对数据造成的干扰(Three points five times the signal can be filtered to reduce the interference caused by the external environment on the data)

matlab在信号去噪过程中，运用小波包方法对信号进行降噪处理(matlab signal de-noising process, the use of the method of wavelet packet noise reduction processing on the signal)

three phase Bridge Rectifier Circuit with different type of RLE with Simulation in matlab.

这是一份关于MATLAB数值计算的程序，讲解的很详细，很好的学习材料(This is a numerical calculation on the MATLAB program, explained in great detail, good learning materials )

Cointegration with Matlab

图像灰度变换，用matlab编程对图像的灰度值进行改变处理(matlab Image gradation processing)

渐消记忆最小二乘法。系统辨识matlab源程序。(fading memory of the least square method. Matlab source system identification.)

Butterworth hih/low and band pass filters are applied to image