Sequential__Detection

power flow by gause sidel method

矩阵的cholesky分解，对学习系统辨识的建模应用具有很大的帮助。(Cholesky decomposition of matrix)

凸优化理论工具包，目前广泛应用于波束形成算法、感知无线电等各方面(widely used in beamforming)

说明：  最小二乘法匹配，matlab代码，相关系数最大，单点最小二乘匹配(Least squares matching, matlab code, maximum correlation coefficient, single-point least squares matching)

Matlab script for digitizing a published graph

一种用于ＧＭＳＫ非线性调制的自适应均衡算法　，包阔有算法的文档资料(a nonlinear GMSK modulation for the adaptive equalization algorithm, the width of a packet algorithm Documentation)

3 phase induction machine

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.)

C语言实现MATLAB 6_5中M文件的方法 。(C language MATLAB 6_5 in the M documents.)

CWP 地震数据处理软件包应用 期刊文献 pdf(CWP seismic data processing programs package application )