RGBtoLab

基于轮廓波的多聚焦图像融合，采用MATLAB语言(image fusion by contourlet)

用小波函数进行分解与重构信号，通过重构信号在进行基音检测的运算(Wavelet function decomposition and reconstruction signal through the reconstructed signal during operation pitch detection)

重要参数的提取，是本科毕设的题目，可以实现模式识别领域的数据的分类及回归，进行逐步线性回归，构成不同频率的调制信号，正确率可以达到98％，在MATLAB中求图像纹理特征。( Extract important parameters, The title of the commercial is undergraduate course you You can achieve data classification and regression pattern recognition, Stepwise linear regression, Constituting the modulated signals of different frequencies, Accuracy can reach 98 , In the MATLAB image texture feature.)

粒子群优化算法（可以应用在寻优建模过程中）(Particle Swarm Optimization (can be applied in the modeling process optimization))

微电网14bus仿真模型,内含柴油发电机，pv，等模型(microgrid 14bus simulink model)

模式识别的大作业 改进的C均值法，对聚类效果比较显著(Great job to improve recognition of the C means method, a relatively significant effect on the clustering)

容积卡尔曼滤波算法，可运行，与卡尔曼滤波算法比较，效果更好。(Volume Kalman filter algorithm can be run, compared with the Kalman filter algorithm, the better.)

幅相误差下的doa估计，本人编写，绝对可用(Amplitude and phase error estimates under the doa, I write, absolutely free)

Bayesian Alpha Matting

说明：  基于边缘导向的插值算法 首先估计出低分辨率图像的局部协方差系数，然后基于低分辨率图像的协方差和高分辨率图像的协方差之间的几何二元性，用估计出来的协方差进行插值得到高分辨率图像(Image interpolation based on oriented)