Relay_selection_Max_min

基于深度学习实现射频信号的调制识别，分别基于多种网络实现(Modulation Recognition of Radio Frequency Signals Based on Deep Learning)

说明：  经典属性越简代码，用于属性约简及规则生成。(Classic attribute reduction code)

STM32L476RGTx 开发板，连接心率传感器，通过NB95上报心率实时情况源码

说明：  java实现的opc ua 客户端，源码。大家可以看看，简单，易懂，只有4个文件。(OPC UA client implemented in java, source code. As you can see, it is simple and easy to understand. There are only four documents.)

此驱动程序适用于STM32f103xxx的MCU,LoRa使用的是周立功的ZM470SX-M。该模块的技术点信息如图: ,该驱动基本可以实现模块间的通信(This driver is suitable for STM32f103xxx M CU, LoRa uses ZM470SX-M of Zhou Ligong. The technical information of the module is shown as follows: the driver can basically realize the communication between modules.)

自己用51单片机做的，DS12C887实时时钟，时钟精度很高(I made it with 51 single chip computer, DS12C887 real-time clock, clock precision is very high, you can refer to if you need it.)

说明：  #运行实验： 1-转到代码并打开configationfile.m 2-在ConfData数组中设置所需的算法参数值 3-运行代码，结果将存储在结果文件夹中。 #展示实验结果： 1-转到结果文件夹 2-您可以运行以下文件之一： -运行plotResuts3D\u pareto.m以显示nsgai、nsga3和MOJPSO之间的比较 -运行MplotSensors.m来绘制NSGA3的传感器分布图 -运行MplotStatistics.m来绘制NSGA3的执行时间和传感器数量统计信息(# To run the expermints : 1- go to code and open configrationFile.m 2- set the values of the Algorithm parameters that you want in the ConfData Array 3- run the code and the results willbe stored in results folder. # To Show the results of expermints: 1- go to results folder 2- you can run one of this files : -run plotResuts3D_pareto.m to show the comparasion btween NSGAII,NSGA3and MOJPSO -run MplotSensors.m to plot the sensor distribution for NSGA3 -run MplotStatistics.m to plot the execution time and sensors number statistics for NSGA3 -run plotResults2D.m to plot the pareto in 2D)

说明：  可见光通信中LED分布 经典均匀分布模式的LED排布程序(Led distribution in visible light communication)

5档调节pwm，1602显示，使用stc89c52单片机(five types of pwm displayed by 1602)

使用PTS算法降低峰均比，提高OFDM通信系统通信质量，降低误码率(Using PTS algorithm to reduce the peak to average ratio, improve the communication quality of OFDM communication system and reduce the bit error rate)