Smoothing-Filter-based-Intensity-Modulation-a-spe

编译原理的学习资料，我们上课用的，没有源码传，但又想下载东西，只好传了学习资料(Compilation Principle of learning materials, we used in class, there is no source Chuan, but want to download things, but to learn from the information passed)

DMX 512协议是Digital Multiplex的缩写，是灯光行业数字化设备的通用信号控制协议，同时也是是一种国际协议。 　　USITT DMX512/1990是调光和灯光控制台数据传输标准，是娱乐灯光领域常用的控制协议。以前0-10V模拟控制用的比较多，现在DMX512是娱乐灯光行业最主要的控制协议。USITT DMX512/1990是由美国剧场技术协会USITT提出的。最原始的版本出版于1986年，在1990年做了修改。 (DMX 512 protocol is short for Digital Multiplex is light industry, general-purpose digital signal device control protocol, but also is an international agreement. USITT DMX512/1990 is dimming and lighting control data transmission standard, is commonly used in the field of entertainment lighting control protocol. 0-10V analog control previously used more, now is the entertainment lighting industry, the main DMX512 control protocol. USITT DMX512/1990 by the American Association of Theater Technology USITT s. The original version published in 1986, was revised in 1990.)

混沌控制经典书籍--混沌控制及其优化应用-作者邹恩(Chaos control of classic books- Chaos control and optimization applications- Author Zou En)

GMPLS中的相关信令协议RSVP仿真代码，网上下载的，希望能适合大家(Related signaling protocols in GMPLS RSVP simulation code, download, and I hope we can fit)

二进制格雷码与自然二进制码的互换 它就是介绍怎么把二进制格雷码与自然二进制码的互换。主要是异或操作(itis to for 2to 2)

pwm整流器的建模仿真，感应双馈发电机系统的仿真，复化三点Gauss-lengend公式求pi。( Modeling and simulation pwm rectifier Simulation of doubly fed induction generator system, Complex of three-point Gauss-lengend the Formula pi.)

《光通信系统》的电子文档，对于学习光纤通信的人有很大的帮助。(The optical communication system, "the electronic document, for learning optical fiber has a lot of help.)

分析了 IEEE 802.15.4a的信道模型，并分析了现今测距的方法：CHAN与TAYLOR等，并在此基础上做了改进(Analysised the channel of IEEE 802.15.4a,and analysised some methods for TDOA and TOA . )

W5100 spi connect describe

随机调制信号下的模拟ppm，结合PCA的尺度不变特征变换(SIFT)算法，包括主成分分析、因子分析、贝叶斯分析。( Random ppm modulated analog signal under Combined with PCA scale invariant feature transform (SIFT) algorithm, Including principal component analysis, factor analysis, Bayesian analysis.)