shading

kalman filter matlab code

对一个mat文件中的数据进行滤波后再进行奇异值分解降噪。奇异值降噪方法参考附件中的文献(filtering the data with medfilter and SVD(singular value decomposition))

wavelet signal processing

此程序包括重采样中的最邻近法，双线性内插法，三次卷积法。 (resampling)

mc-cdma matlab下的性能仿真(mc-cdma Matlab under the Performance Simulation)

在非线性光学中，薛定谔方程为波的传输方程，次程序运用分步傅里叶方法求解非线性薛定谔方程！(In nonlinear optics, Schrodinger equation for the wave propagation equation, sub-process using step Fourier method for solving nonlinear Schr?dinger equation!)

matlab源代码：QAP（二次分配)优化问题通过蚁群算法实现。(ant colony algorithm for QAP problem (matlab))

gbvs 提取显著区域，进行其他的程序编写。在matlab上运行，先安装，后可以直接运行(gbvs select main object)

说明：  它主要研究的是多因变量对多自变量的回归建模，特别当各变量内部高度线性相关时，用偏最小二乘回归法更有效。另外，偏最小二乘回归较好地解决了样本个数少于变量个数等问题。 偏最小二乘法是集主成分分析、典型相关分析和多元线性回归分析3种分析方法的优点于一身。它与主成分分析法都试图提取出反映数据变异的最大信息，但主成分分析法只考虑一个自变量矩阵，而偏最小二乘法还有一个“响应”矩阵，因此具有预测功能。(It is mainly a result of the study is a multi-variable regression modeling and more independent variables, especially when the internal height of each variable linear correlation, partial least squares regression method is more effective. In addition, partial least squares regression solves the number of samples is less than the number of variables and other issues. Partial least squares method is a set of principal component analysis, canonical correlation analysis and multiple linear regression analysis of the advantages of the three methods in one. It is the principal component analysis are trying to extract the maximum information reflects data variability, but the principal component analysis considers only one independent variable matrix, and partial least squares and a &quot response&quot matrix, predictive capabilities.)

解决排队论中的基本问题，高效实用。改变数据即可实用(Queuing theory to solve the basic problem, efficient and practical. Change data can be useful)