orl_pca

一个很基础的预测控制，很简单的matlab程序(predictive control)

高斯低通/高通频率域滤波实现图像的模糊/锐化(Gaussian low pass/high-pass filtering in frequency domain image of the fuzzy/unsharp)

PCA算法。PCA的目的是找到能够分离出最大方差的方向，所以首先求原来所有数据三个维度上的协方差，然后求这个协方差的特征值，最大特征值为第一个方向，从此以此类推。(PCA algorithm. The purpose of PCA is to find able to isolate the direction of maximum variance, so first find all the data in three dimensions on the original covariance, and then find the eigenvalues ​ ​ of the covariance, the biggest feature is the first in one direction, from and so on.)

含噪脉冲信号进行相关检测,最终的权值矩阵就是滤波器的系数，分数阶傅里叶变换计算方面。( Noisy pulse correlation detection signal, The final weight matrix is ??the filter coefficient, Fractional Fourier transform computing.)

说明：  Gaussian Processes Regression(GPR) 高斯过程回归 Matlab 实现(Gaussian processes regression (GPR) matlab implementation)

用于稀疏分解的优化搜索算法，版权属于Patrick S. Huggins and Steven W. Zucker（Yale University）(sparse for the decomposition of optimization search algorithm, Copyright belongs to Patrick S. Huggins and Steven W. Zucker (Ya le University))

模拟fastICA算法，3个源信号输入，对此进行盲源分离，初学者可以多了解(FastICA simulation algorithm, three source signal input, conduct a blind source separation, beginners can learn more about)

双馈风力发电系统仿真模型，采用背靠背式PWM调制方式。(Double-fed wind power generation system simulation model, using back-type PWM modulation.)

MIT-BIH CUDB 详细心电信号，可用于分类VT/VF 与 NSR(MIT-BIH CUDB detailed ECG can be used to classify VT/VF and NSR)

denoising filters such as Average, Median, Gaussian, Wiener, Min-order-statistic, Maxorder-statistic and Median-order-statistic are used. Based on the images obtained by the mentioned filters, it is become obvious clear that for the given noisy image the Min filter acted much better than the other filters. Order-statistic Median and Gaussian filters are the ones that have a second and third good result respectively. That is way can conclude that the existing noise in the given image was Salt noise.