induction-alfa-beta-axis

copular 多元时间变量统计学工具 计算相关性 (copular multiple time variables were calculated related tools)

线性调频信号产生 带宽为240MHz 脉冲宽度为5us(Chirp signal bandwidth of 240MHz generate a pulse width of 5us)

在通信建模与仿真的过程中，QPSK是其中的一个简单例子(the simulator of QPSK is very important)

单频双频信号的检测与估计，使用LMS算法(Detection and estimation of single frequency dual frequency signals using LMS algorithm)

说明：  这是利用改进的kalman滤波来处理GPS信号，通过与传统的kalman滤波比较得到较好的效果。直接解压，就可以导入work里运行。(This is the improved GPS kalman filter to process the signal, by comparison with the traditional kalman filter get better results. Direct decompression to work can be imported to run. )

ACO求解QOS路由问题。该文件完全实现了蚁群算法求解QOS路由问题，取得了不错的效果。用matlab打开该文件，将文件中的输入参数列表复制到运行窗口中，然后运行该文件即可。(ACO routing problem solving QOS. This document is the ant colony algorithm to achieve QOS routing problem, and achieved good results. Using matlab to open the file, the file copied to the run input parameters list window, then run the file.)

认知无线电频谱感知中的单用户频谱感知的主要三种方法：能量检测，循环平稳特征检测，匹配滤波器检测 的matlab实现的源代码(cognitive radio spectrum sensing：Energy detection, cyclostationary feature detection, matched filter detection 。matlab the source code)

Modelling and Control of Wind Turbines

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.)

matlab的部分编程实例，可以为大学相应课程提供参考。(matlab part of the programming examples, can provide a reference for university courses accordingly.)