newtonbianchidu

m-sequencs generation and cross corelation between them

说明：  基于MATLAB的PSK调制 内含源程序与论文(Based on MATLAB-PSK modulation with papers containing the source)

这是一个编写matlab高效代码的指南，在编程上可供参考。(This is a document of writing efficient matlab program,it s worth being refered to when you write program.)

实现高维数据向低维数据的转变，降低维数希望群主采纳！(To realize the change of high dimensional data to low dimensional data, reduce the dimension of hope group of main adopted!)

ARIMA与RBF复合模型在设备运行状态趋势预测中的应用(ARIMA and RBF complex model equipment running trend prediction)

自己做的识别MATLAB源码 自己做的识别MATLAB源码(Identification of own-source MATLAB)

elshebri source code11

Principal component analysis (PCA) is a popular tool for linear dimensionality reduction and feature extraction. Kernel PCA is the nonlinear form of PCA, which is promising in exposing the more complicated correlation between original high-dimensional features. In this paper, we first talk about the basic ideas of PCA and kernel PCA, and then focus on the reconstruction of pre-images for kernel PCA. We also give an introduction on how PCA is used in active shape models (ASMs), and discuss how kernel PCA can be applied to improve traditional ASMs. Then we show some experiment results to compare the performance of kernel PCA and traditional PCA for pattern classification. We also implement the kernel PCA-based ASMs, and use it to construct human face models.

public guideness for swarm Ops in Matlab

感知准则梯降法求线性判别函数权向量的算法(using perceptual criterion to find weightvector of a linear decision function)