PathSmoothing

汽车爬坡功率函数，在不同的时间汽车的速度和位移，及功率运行桩孔(Car climbing power function, velocity and displacement of the car at different times, and the power to run Pile)

code for sattelite calculaton

matlab lagran.m 拉格朗日插值 divDiff 牛顿差商表(matlab lagran.m divDiff.m)

利用matlab仿真OFDM系统的主要文件(ofdm based on matlab)

自己写的ivple目标跟踪，绝对可以使用(ivple single target tracking station)

强预测器算法进行时间序列的预测，使得效果更好(Strong predictor algorithm)

马氏距离是一种有效地计算两个样本集之间相似度的算法（数据之间协方差距离），与欧式距离相比，它考虑了各种特征之间的联系。本实验旨在通过给出的样本数据，设计一个最小马氏距离分类器并对测试点进行分类，然后将其与最小欧式距离分类器进行比较，实验得出当协方差矩阵为单位阵时，最小马氏距离分类器将与最小欧式距离分类器等价。本实验还根据实验样本设计贝叶斯分类器进行分类，并与最小马氏距离分类器进行比较，比较两种分类器的分类效果。(Markov distance is an effective method to compute the similarity between the two samples (data covariance distance), compared with the Euclidean distance, which takes into account the link between different characteristics. This experiment aimed at through the given sample data, design a minimum Mahalanobis distance classifier and classify the test points, and then compare it with the minimum Euclidean distance classifier. Experimental results showed that when the covariance matrix is a unit matrix, minimum Mahalanobis distance classifier with the minimum Euclidean distance classifier equivalent.In this experiment, according to the experimental design of the Bias classifier, and compared with the minimum distance classifier, the classification results of the two classifiers are compared.)

用Matlab对LEACH分簇算法(cluster)的仿真程序(Using Matlab on LEACH clustering algorithm (cluster) of the simulation program)

modification of signcryption scheme based on ecc

uses the binomial method for a European call.