MATLAB

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.)

说明：  最大类间方差法又称otus方法，是日本学者大津展之在最小二乘法原理基础上提出来的，其本质是一种阐值分割方法。 (Otsu method, also known as otus method, Otsu, Japan scholars in the development of the least squares method based on the principle put forward by its very nature is a kind of illustrates the value of segmentation.)

说明：  matlab的功能函数速查。可帮读者快速找到自己想要的函数。(Quick matlab function function. Can help readers quickly find their desired function.)

基于matlab用于求解商人过河问题，运用随机模拟的思想得到问题的多个解(Matlab-based businessman river used to solve the problem, the idea of ​ ​ using stochastic simulation of multiple solutions to get the problem)

通过此文件，你可以学习机器学习中的单变量和多变量线形回归。文件提供了用matlab实现这一过程的代码和流程。(From the file you can know what is linear regresion in machine learning. We provide the source code written by matlab to implement this process.)

用matlab编写的最近邻域的数据关联，采用kalman滤波实现(Associated with the most recent data prepared matlab neighborhood, using kalman Filtering)

Basics in Image processing using MATLAB

说明：  用Matlab实现中值滤波，均值滤波以及高斯滤波(Using Matlab to achieve median filter, mean filter and Gaussian filter)

RBF prediction Mackey-Glass serie

基于matlab的窗函数滤波器设计 kaiser 窗(Filter design onmatlab)