CPPdancisaomiao

说明：  介绍了一种路径跟踪的智能预瞄控制方法，并介绍了智能预瞄控制器的原理、结构及其设计过程。 (This paper presents a path tracking control method for intelligent preview, and introduced the intelligent preview controller principles, structure and design process.)

基于USB接口的脉搏检测仪本文设计该检测仪由硬件和软件两部分组成硬件电路包括数采集电路放大滤波电路控制电路及电源电路(ThePulsedetectingInstrumentBasedonUSBInterface)

光纤陀螺温度漂移误差建模及补偿技术研究，对光纤陀螺零偏误差进行建模，并在线补偿(FOG bias temperature compensation)

关于chirp信号的频率估计和定时估计的论文，对研究chirp信号有一定的帮助(About the frequency of the chirp signal estimation and timing estimation of thesis, has the certain help to the study of chirp signal)

量子通信的论文集合，都是在同方知网，或者是万方上下载的(The paper collection of quantum communication, are in tongfang hownet, or ten thousand square on download )

osgocean的经典论文，讲了光照的折射反射，海浪频谱以及水下的光照问题等。(osgocean classic paper, about the reflection of light refraction, the wave spectrum and underwater lighting problems.)

说明：  软件设计报告，包括分数统计软件，打字软件，文本编辑器，打字软件，进制转换器，学生管理系统，模拟电信计费系统，统统都是源码，还有详细的设计报告(Software design report, including scores of statistical software, typing software, text editor, typing software, binary converter, student management system, telecom billing system simulation, all are source, as well as the detailed design report)

基于USB数据采集便携式心电监护仪的设计(The design of the portable ECG monitor based USB data acquisition)

这是我根据英飞凌手册编写的IGBT损耗分析软件，软件显示计算公式，用于损耗评估(This is my according to IGBT loss Infineon manual writing and analysis software, the software shows the calculation formula, used to evaluate the loss )

基于PSO的BP训练算法论文：在BP训练算法中，关于变权值、学习速率、步长的问题已被广泛地研究，几种基于启发式改进的技术也表明具有改善训练时间以及避免陷入局部最小的明显效果。这里BP训练过程由基于PSO同时优化log—Sigmoid函数与网络权值的新算 法(PSO。GainBP)实现。实验结果表明，PSO—GainBP比传统基于PSO的BP算法在网络训练方面具有更好的性能。(PSO based on the BP training algorithm Papers: In the BP training algorithm, on the right to change the value of learning rate, step length of the question has been widely studied, several heuristics based on improved technology also shows that to improve the training time and avoid falling into local the smallest tangible results. Here BP training process at the same time by the PSO-based optimization of log-Sigmoid function and the network weights of the new algorithm (PSO. GainBP) to achieve. The experimental results show that, PSO-GainBP than the traditional PSO based on the BP algorithm in network training has a better performance.)