PRP

说明：  此程序是基于二步最小二乘法，运用递推算法。(This procedure is based on two-step least square method, the use of recursive algorithms.)

ICA算法的一个例子，适于初学者。其中采用实际的数据进行盲分离。(ICA an example of the algorithm, suitable for beginners. The actual use of these data for blind separation.)

This program in matlab encrypts the image in frequency domain

说明：  有导师学习神经网络的回归拟合-基于近红外光谱的辛烷值预测(Learning regression neural network fit- based on near-infrared spectroscopy octane forecast)

用于分类的主判别变量算法(principal discriminant variate algorithm) ( principal discriminant variate algorithm for two classes, x1 and x2. x1 is the training samples in the 1st class with each column being the spectrum characterizing the corresponding sample. x2 is the training samples in the 2nd class with each column being the spectrum characterizing the corresponding sample. lamda is the penalty weight defining the balance between FLDA and PCA. dvnum is the number of principal discriminant variates to be computed. A defaul value for dvnum is 2. dv is the principal discriminant variates. scores is the matrix with each row being the scores of the samples on the corresponding principal discriminant variate. xmean is the mean spectra of the sample, which was used for mean-centering the data in training and prediction. )

在matlab或者PSCAD中对桥差不平衡电流进行仿真计算，得到仿真结果与常规计算结果一致，此方法修改简单快捷。(In matlab or PSCAD to bridge the difference between the current imbalance in the simulation calculation, the simulation results are consistent with conventional calculations, this method is simple and quick modification.)

模拟语音信号的动态范围解压缩算法的matlab源码(Analog voice signal dynamic range compression algorithm solution matlab source)

在希尔伯特-黄变换中用来对信号过滤，一个过滤器函数 (The filter function)

Description The Joint Spectral Radius of a set of matrices characterizes the maximal asymptotic rate of growth of a product of matrices taken in this set, when the length of the product increases. It is known to be very hard to compute. In recent years, many different methods have been proposed to approximate it. These methods have different advantages, depending on the application considered, the type of matrices considered, the desired accuracy or running time, etc. The goal of this toolbox is to provide the practioner with the best available methods, and propose an easy tool for the researcher to compare the different methods.

C Code example with EII