mcp3421_C51

主成分分析(PCA)是多元统计分析中用来分析数据的一种方法,它是用一种较少数量的特征对样本进行描述以达到降低特征空间维数的方法,(Principal Component Analysis (PCA) is a method used to analyze data in multivariate statistical analysis. It uses a small number of features to describe samples in order to reduce the dimension of feature space.)

说明：  800*480的DGUS屏演示DEMO，含工程源文件(DI_WEN DGUS 800*480 DEMO&PRJ)

程序员的学习成本,与知识结构程序员的学习成本,与知识结构-Learn the cost of programmers, programmers with the knowledge structure of the study costs, with the knowledge structure

说明：  通过emd技术对采集到的信号进行分离筛选以求得到目标信号(Through EMD technology, the collected signal is separated and screened to get the desired characteristic signal)

说明：  粒子群优化极限学习机的参数。最佳粒子位置即为最优输入权值和隐层阈值。自己跑过的，放数据匹配一下就可以用(PSO optimizes the parameters of extreme learning machine. The optimal particle position is the optimal input weight and hidden layer threshold. Run their own, put data matching can be used)

说明：  1D 2D DFT FFT matlab手写源代码，跟matlab自带函数进行比较误差小于0.0000000001(1D 2D DFT FFT matlab handwritten source code, compared with the MATLAB function, the error is less than 0.0000000001)

说明：  potoshop国际版语言插件，可以在现有版本上进行扩展(potoshop lanaguage Over)

说明：  简单的电池建模(戴维南模型)以及卡尔曼滤波器，用于估算模拟锂电池的充电状态（SoC）估计。可模拟CC / CV充电和脉冲放电。 然后显示图形，显示仿真结果。 可以在Python / main.py中使用容量和Thevenin模型值。 充电/放电协议也可以更改，值可在Python / protocol.py中找到。(Simple battery modeling (the Thevenin model) and the Kalman filter are used to estimate the state of charge (SoC) of an analog lithium battery. Can simulate CC / CV charging and pulse discharge. Then display the graph and display the simulation results. The capacity and Thevenin model values can be used in Python / main.py. The charge/discharge protocol can also be changed and the values can be found in Python / protocol.py.)

数据结构实验 循环链表的实现 测试函数main(Data structure experiment The implementation test function main of the loop list)

a file for running and debuging gamebox