eetop.cn_PLLnoise+jitter_ams model

ofdm信道估计仿真（ls算法，mmse算法，还有一种改进的mmse算法lmmse，可以直接在马特拉并上运行）(OFDM channel estimation simulation (ls algorithm, mmse algorithm, as well as an improved MMSE algorithm lmmse, can be directly in the Matra and run))

一篇西安电子科技大学的博士论文《LTE中MIMO_OFDM系统物理层关键技术研究》，作者李文刚，关键词：多入多出 多用户 MIMO 空时编码 功率分配 波束赋形(Xidian University, a doctoral thesis " LTE physical layer system in MIMO_OFDM key technologies" , author Liwen Gang, Keywords: Multiple Input Multiple Output Multi-user MIMO space-time coding beamforming power allocation)

Final Project Proposal: Design Smart Parking System Based on WSN Using Delay Efficient Distributed Data Aggregation Algorithm

采用QPSK调制方式实现OFDM，在simulink上搭建的仿真模块，可以很好的学习OFDM，验证通过。(Achieved using QPSK modulation OFDM, built on the simulink simulation module can be good learning OFDM. )

说明：  虚拟串口工具，可以在普通电脑上虚拟成对串口，方便进行串口编程的本地调试(Virtual Serial Port Tool, which can be virtual paired serial ports on ordinary computers, facilitates the local debugging of serial port programming.)

感觉这份代码中最有价值的应该是水声信道的建模，该源码来自美国 Parastoo Qarabaqi, Northeastern University, 2013其次其提供了基于l1范数下PCA处理算法，来对经由水声信道的信号进行处理给出误码率图，启动比较程序需要先使用信道生成函数对信号进行生成。(The most valuable part of this code is the modeling of underwater acoustic channel. Secondly, it provides a PCA processing algorithm based on L1 norm to process the signals passing through the underwater acoustic channel and gives a bit error rate chart. To start the comparison program, the channel generating function is needed to generate the signals first.)

说明：  Python异步IO模块源代码，众所周知Python由于全局锁的问题在多线程支持上存在弊病，通过异步可有效提升效率(Python asynchronous IO source code)

Improvement in Cognitive Radio

ZigBee tutorial, good for a short finalt graduate course work

技术文档：OFDM载波频偏估计器，保护捕获和跟踪模式，捕获范围很宽，采用ML估计器，在AWGN和多径信道均表现优良的快速捕获性能。(OFDM carrier estimator)