gps

OPC通讯源代码C++编写，第一次发文，从别处下载而来(OPC communication source code is written in C++, for the first time issued a document downloaded elsewhere)

在Windows95下PC机和单片机的串行通信。 基于32位操作系统Windows95的工业控制PC机和单片机间的串行通信，给出了用VC＋＋5．0和PL／M－96语言编写的串行通信程序(Under the PC in the Windows95 and single-chip serial communication. 32-bit operating system based on the Windows95 machine and industrial control PC serial communication between the single-chip, is given by VC++5.0 and PL/M-96 language serial communication program)

A Survey on Pixel-Based Skin Color Detection Techniques

说明：  卷积码、RS码、LDPC码、turbo码的生成及识别。(Generation and recognition of convolutional codes, RS codes, LDPC codes and TurBO codes.)

eetop.cn_PLLnoise+jitter_ams model

说明：  VB写的通过串口与考勤机连接通讯的程序,便于工作查看，调试。(VB written through the serial port and Attendance Machine Connection Communication Procedures, easy to see the work, debugging.)

这是一个用VC编写的MSCOMM控件的注册安装示例工程源代码，对于单片机的上位机软件开发是一个不错的小工具(This is a prepared using VC control register MSCOMM sample project to install the source code for the MCU PC software development is a good gadget)

1．利用RBF神经网络，解决异或问题： 1）异或问题本质上是一个二分类问题:输入为向量[x1,x2],输出是标量，取值限定为0或1.(1. Use RBF neural network to solve different or problems: 1) an xor problem is essentially a binary problem: the input is a vector [x1,x2], and the output is a scalar whose value is limited to 0 or 1.)

第一次作业_基于分类算法的雷达状态识别 对于本数据集中的雷达状态识别，数据降维前使用朴素贝叶斯、支持向量机、神经网络的分类算法对于识别的准确率无太大影响；数据降维后使用神经网络算法最优，支持向量机算法其次，朴素贝叶斯算法较差。此外，训练样本越多，分类准确率有小幅度提高。(First Operation Radar State Recognition Based on Classification Algorithms For radar state recognition in this data set, the classification algorithm of Naive Bayesian, Support Vector Machine and Neural Network before data dimension reduction has little effect on the accuracy of recognition; Neural Network algorithm is the best after data dimension reduction, Support Vector Machine algorithm is the second, Naive Bayesian algorithm is the worst. In addition, the more training samples, the smaller the classification accuracy.)

说明：  QPSK的MATLAB实现包括发送数据、QPSK比特映射、成型滤波、载波调制、载波解调、收成型匹配、IQ抽样判决、接收比特数据恢复8个模块(The MATLAB implementation of QPSK includes eight modules: sending data, QPSK bit mapping, shaping filtering, carrier modulation, carrier demodulation, shaping matching, IQ sampling decision and receiving bit data recovery.)