BPM_free_space

这个仿真程序用于实现DS-CDMA通信系统仿真(The simulation program used to implement DS-CDMA Communication System Simulation)

this is a subfile for motion detection

This file is ELM algorithm in matlab code

含风电场的电力系统潮流计算，在IEEE14节点下任意设置风电节点及其注入功率，即可进行潮流计算以及静态安全分析(With the wind farm power flow calculation)

系统辨识的MATLAB版程序，主要讲辅助变量法的参数辨识(System identification of MATLAB version of procedures, mainly speak auxiliary variable method of parameter identification )

an investigation on use of chaotic sequence in DS-CDMA. The DS-CDMA systems offer physical layer security without the need for a significant increase in computation or power requirements. Nowadays, DSCDMA has been used widely. These systems suffers from multiple access interference because of other users transmitting in the cell, channel inter symbol interference and additive white Gaussian noise. Codes have an effective role in DSCDMA system, so M-sequences; gold sequences have been used as spreading codes in DS-CDMA. These sequences by shift registers and periodic in nature are developed. However, these sequences are not enough and also limit the security. This paper presents an investigation on use of new type of sequences called chaotic sequences for DS-CDMA system. These sequences by chaotic maps are generated.

matlab程序开发波浪模拟源程序Wave Simulation Program Development matlab source code(Wave Simulation Program Development matlab source Wave Simulation Program Development matlab source code)

此程序是matlab中有关平滑去噪中常用的小波的程序，简单使用，其中的注释详细，对每个变量的注释都很清楚(Matlab in this procedure are commonly used on the smooth wavelet denoising procedure, simple to use, with detailed explanatory notes for each variable are well aware of the Notes)

说明：  使用直线段替换管道时的土壤温度场模拟，采用有限容积方法。(Replace the pipe using the straight line when the soil temperature field simulation, finite volume method.)

　Kmeans 算法是聚类分析中使用最为广泛的算法之一，其每个类别均用该类中所有数据的平均值(或加权平均)来表示，这个平均值即被称作聚类中心。该方法虽然不能用于 类别属性的数据，但对于数值属性的数据，它能很好地体现聚类在几何和统计学上的意义。(Kmeans algorithm is the most widely used cluster analysis algorithm, each category with the average of all data in the class (or weighted average) to represent the average is known as the cluster center. Although this method can not be used The class attribute of the data, but data for numeric attributes, it can well reflect the significance of clustering on the geometry and statistics.)