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可以通过matlaB来进行仿真，得到很好地迭代控制的效果，开环和闭环的迭代控制算法的仿真(Can by matlaB to simulation, iterative control effect, the open-loop and closed-loop iterative control algorithm simulation)

UnderstandingLTEwithMATLAB_Chapter 4 Code

说明：  地形数据显示matlab文件包 这是外国人编写的一个工具程序包(Terrain data matlab package This is a tool for foreigners to prepare package)

DVB_S2_LDPC整体累积编码算法文档(DVB_S2_LDPC overall cumulative encoding algorithm document)

通信原理matlab仿真中正交频分复用数字通信系统(Matlab simulation of communication theory orthogonal frequency division multiplexed digital communication system)

ABS function to solve the velosity of the vehicle vs the velosity of the wheels System will automatically delete the directory of debug and release, so please do not put files on these two directory.

Active Filters model pscad 4.2.1 rar

说明：  BESS通常用于负载均衡，调峰，负载转移应用等。 此BESS块从工作空间获取每小时负载曲线（kW）输入，并计算电网和电池使用量输出到工作空间。 必须以两列格式准备负载配置文件，其中第一列是从一天的0小时开始的时间。第二列是以kW为单位的功耗。（例如，将SampleLoadProfile.mat加载到工作空间中）。 模拟运行时间是从一天的0小时开始的每小时单位。例如，为了模拟24小时负载配置文件，模拟运行时间设置为23，一周运行时间设置为167，一个月30天运行时间设置为719和31天运行时间设置为743。 在“求解器”选项下的模型配置参数中，设置为固定步长类型并将固定步长（基本采样时间）设置为1并运行模拟。(BESS are commonly used for load leveling, peak shaving, load shifting applications and etc. This BESS Block takes hourly Load Profile (kW) input from workspace and compute the Grid and Battery usage output to workspace. The load profile has to be prepared in two column format, where the first column is time starting from 0 hour of the day. The second column is power consumption in kW unit. (For example, load the SampleLoadProfile.mat into workspace). The simulation run time is in hourly unit starting from 0 hour of the day. For example to simulate a 24 hours load profile, the simulation run time is set to 23, one week run time is set to 167, one month 30 days run time is set to 719 and 31 days run time set to 743. In model configuration parameters under Solver options, set to fixed-step type and set the fixed-step size (fundamental sample time) to 1 and run the simulation.)

归一化LMS算法程序，归一化LMS算法程序，归一化LMS算法程序,归一化LMS算法程序，归一化归一化(Normalized LMS algorithm program, normalized LMS algorithm procedure, the normalized LMS algorithm process, the normalized LMS algorithm program, normalized normalized)

James H. Stapleton - Models for Probability and Statistical Inference - Theory and Applications