EEPB

一个关于aodv dsr dijkstra算法的MATLAB实现(Aodv dsr dijkstra a MATLAB algorithm to achieve)

说明：  基于遗传算法的动态TSP问题的研究，内容详细，条理清晰(Based on genetic algorithm of dynamic TSP research)

主成分分析(PCA)是一个数学的过程,它使用一个正交变换转换成一组观测到的可能相关的因素形成一套价值观的独立变量称为主成分。主成分的数量小于或等于原始变量的数目 (Principal component analysis (PCA) is a mathematical procedure that uses an orthogonal transformation to convert a set of observations of possibly correlated variables into a set of values of uncorrelated variables called principal components. The number of principal components is less than or equal to the number of original variables)

图像的双线性插值程序，在两个方向分别进行一次线性插值。(Bilinear interpolation process of the image in both directions, respectively for a linear interpolation.)

压缩感知方面的一些论文，源码，和一些课件，主要是介绍原理方面的资料(Some of the papers in compressed perception, the source code, and some courseware, mainly is the introduction of the principle of information )

关于单载波频域均衡的研究，将LMS算法引入SC_FDE系统当中(Equilibrium studies on single-carrier frequency domain, the LMS algorithm is introduced which SC_FDE system)

用数值分析中的二分法求解函数值。很简单，但是正确，可以直接使用(bisect)

对信号计算11/2维切片谱，可用来分析二次相位耦合检测。(Calculation of signal 11/2 dimension slice spectrum can be used to analyze the quadratic phase coupling detection.)

说明：  个人总结的matlab常用技巧，主要为输出图表时表格的形式(personal lessons Matlab commonly used techniques, mainly for export charts when a form)

说明：  基于MATLAB的组合模型 在港口吞吐量预测中的应用 以某港1998--2007年集装箱吞吐量为实测数据，建立其集装箱吞吐量的灰色理论、三次指数平滑、三次多项式 等预测模型，在MATLAB下，对比该港集装箱吞吐量各模型预测拟合值与实际值的差异。分析了差异产生的原因及其单一预 测模型的局限性，提出了港口集装箱吞吐量组合预测法。其预测误差明显低于其它单模型。运用组合预测模型．可以降低误 差。提高预测精度。(A combination of MATLAB-based model in port throughput prediction of a Hong Kong 1998- 2007 container throughput for the measured data, the establishment of its container throughput of the gray theory, the three exponential smoothing, prediction models, such as cubic polynomial in MATLAB, the contrast of the Hong Kong container throughput of fitting the models to predict the value of the difference between the actual value. Analysis of the causes of differences and the limitations of a single prediction model, the combination of port container throughput prediction. Its prediction error was significantly lower than other single model. The use of combination forecasting model. Can reduce the error. Improve the prediction accuracy.)