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Analysis and Simulation Model of Physical Carrier Sensing in IEEE 802.11 Mesh Networks

是本科毕设的题目，实现六自由度运动学逆解算法，有详细的注释。( The title of the commercial is undergraduate course you Six degrees of freedom to achieve inverse kinematics algorithm, There are detailed notes.)

人脸识别中的光照处理方法，用MATLAB编写的遗传算法路径规划，空间目标识别，采用PM算法。( Face Recognition light treatment method, Genetic algorithms using MATLAB path planning, Space target recognition algorithm using PM.)

杨建国老师的通讯原理课件，第三章模拟信号的调制与解调，主要讲述信号产生与调制，射频特性，解调，MSK、GMSK、PSK、QPSK、BPSK、QAM等原理(Yang Jianguo teacher communication principles of courseware, the third chapter of the analog signal modulation and demodulation, and focuses on the signal generation and modulation, the RF characteristics, demodulation, MSK, GMSK, PSK, QPSK, as BPSK, QAM and other principles of)

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.)

说明：  详尽描述了3GPP LTE环境中小区间资源分配仿真的全过程，有蜂窝小区的模拟方法和资源调度的算法，还有性能仿真的曲线图(3GPP LTE detailed description of the allocation of resources between the environment small and medium-sized simulation of the entire process, and the simulation of Cellular and resource scheduling algorithm, as well as the curve of performance simulation)

基于matlab的TD-SCDMA动态信道分配(Matlab-based TD-SCDMA, dynamic channel allocation)

opnet simulation of random access in CDMA network

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One issue with underwater sensors is how to efficiently transfer large amounts of data collected by the node to an interrogating platform such as an underwater vehicle. It is often impractical to make a physical connection between the node and the vehicle which suggests an acoustic or optical wireless solution. For large amounts of data, the high bandwidth of underwater optical wireless is an advantage. A small, low-cost platform to demonstrate the potential of an optical wireless communications interface for underwater sensor nodes is demonstrated. To enhance the reliability and robustness of the optical wireless communication digital signal processing and error correction techniques are used. The system was tested in 3 and 7.7 meter tanks at 5 Mbps with the turbidity of the water controlled by the addition of Maalox.