madqm

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.

APDL 培训资料，很好的学习ansys的资料(APDL training materials, information on good learning ansys)

提供了几种利用jakes模型建立瑞利信道的matlab代码。(Provides several jakes model building using Rayleigh channel matlab code.)

说明：  SCMA log-MPA检测迭代次数对比(SCMA log-MPA detection)

基于Q学习实现自主选频与动态频谱接入，认知无线电(Dynamic spectrum access with Q-Learing)

Digital Audio Broadcasting System Modeling and Hardware Implementation

64QAM解调文章，在符号同步方面，采用插 值滤波器的设计，在盲均衡方面，提出了改进算法--MMA+HCMA双模式算法，利用MMA算法对信号的实部和虚部都进行均衡的原理解决了CMA+HCMA算法盲相位的问题(64QAM demodulation article, the symbol synchronization, using the interpolation filter design, blind equalization, the proposed improved algorithm- MMA+ HCMA dual-mode algorithm, the use of MMA algorithm to signal the real and imaginary parts of the balanced CMA+ HCMA principle to solve the problem of algorithm-blind phase)

说明：  OFDM通信系统的仿真代码，可用作数字通信的分析参考(The simulation code of OFDM communication system can be used as analysis reference of digital communication.)

主要研究无线通信系统中，调制信号的载波同步问题，利用锁相环技术实现同步的matlab仿真(This paper mainly studies the carrier synchronization of modulated signal in wireless communication system, and realizes the MATLAB simulation of synchronization by using phase-locked loop technology.)

说明：  智能汽车和智能交通的关键技术，V2X（车联网）无线资源分配(The key technology of intelligent vehicle and intelligent transportation, v2x (Internet of vehicles) wireless resource allocation)