Matlab

实现四路复用程序。通过walsh正交码的复用技术，matlab仿真(achieve multiplexing process. Walsh orthogonal codes through the Reuse, Matlab simulation)

聚类算法,绝对值距离且比雪夫距离\平均值距离等.matlab程序,GUI界面,有详细说明(Clustering algorithm, the absolute value of the distance and Chebyshev distance the average distance. Matlab program, GUI interface, there is a detailed description)

功率分析 根据自己需要修该，已经过验证，可使用 (power sp)

水平集的快速行进方法,是一种水平集的求解方法,对研究水平集的朋友很有用(This is a method of level set,adopting fast marching. It is very usefull to everyone.)

新型pid控制算法,对传统的pid设计新手来说具有很强的借鉴意义.(new pid control algorithm, the pid of the traditional design rookie has a strong reference.)

本程序先使用RSSI中对数常态模型来测距离，然后用三边测量法来计算未知节点的坐标。(The program first uses RSSI in lognormal model to measure the distance, and then use trilateration to calculate the coordinates of the unknown node.)

说明：  Leslie模型实例：基于Leslie矩阵的算法，同时将人口按10年一组分成m个年龄段，并根据一些影响人口数量和结构的重要因素（建立模型。再根据我国近十年的二孩出生率的实际情况并结合少数民族不受影响的因素，通过Matlab画出拟合曲线对2017-2030年我国每年人口总数做出预测。此后，根据近十年0-14岁、15-64 岁、65岁及以上三个年龄段的人数，计算出人口抚养比，用Matlab预测至2030年的人口结构。为了使预测更加精确，我们还将夫妇的生育意愿考虑到模型当中。(Based on the Leslie matrix algorithm, the population is divided into m age groups according to a group of 10 years, and according to some important factors that affect population size and structure Modeling. Then according to the actual situation of the birth rate of second-born children in China in the past ten years and combining the factors that are not affected by ethnic minorities, drawing a fitting curve through Matlab will make a prediction for the total population of China in 2017-2030. After that, based on the number of people aged 0-14, 15-64, and 65 years of age in the last ten years, calculate the dependency ratio of the population and use Matlab to predict the population structure by 2030. In order to make the prediction more accurate, we also consider the couple's fertility intention in the model.)

生成DCT矩阵,只要简单输入矩阵的阶数,就可以返回一个用语DCT变换的矩阵 (Generation DCT matrix, a simple enter the order of the matrix, you can return to a term of the DCT transform matrix)

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Signal models, echo cancelations adaptive filtering