资源列表
PLC
- PLC与上位机的通讯方式PPI通讯 以太网通讯 MPI通讯 RS485串口通讯 -PLC and superordination machine of communication profibus RS485 communication frames Computer communication manner
mobiletheftalertsyst
- It is a mobile Theft Alert system... We can develop a costless system to find out the theft mobiles-It is a mobile Theft Alert system... We can develop a costless system to find out the theft mobiles...
06461191
- Energy Impact of Emerging Mobile Internet Applications on LTE Networks: Issues and Solutions
OFDM-signals
- 针对无线电监测和认知无线电系统中正交频分复用(OFDM) 信号参数估计这一重要问题,提出了用频域累积法算OFDM 信号的循环自相关函数的数值计算方法.-For radio monitoring and cognitive radio systems, orthogonal frequency division multiplexing (OFDM) signal parameter estimation of this important issue, the accumulation meth
flowplayer-5.4.3
- 这是一个源码，测是大叔大苏打三大三大三的-This is a source
C_STYLE_GUIDE
- NASA 的编程规范，有很大的参考价值。-NASA programming norms, have great reference value.
rfc959_chinese
- FTP协议规范，文章翻译很不错，从第三章开始详细翻译，第一章和第二章只是作了些简单的描述。-FTP Protocol Specification, Translation article is pretty good, from the beginning of Chapter III of the detailed translation of Chapters I and II just made some simple descr iption.
channel-aware-decsision-fusion
- Information fusion by utilizing multiple distributed sensors is studied in this work. Extending the classical parallel fusion structure by incorporating the fading channel layer that is omnipresent in wireless sensor networks, we derive the lik
equlizer_in_communication
- 简单讲解了通信中的时域均衡器技术，入门级的，易懂-Briefly explain the time domain equalization in communication technology, entry-level, easy to understand
10.1.1.103.6488
- Decoding Space–Time Codes with Imperfect Channel Estimation
123456
- OFDM自适应调制技术根据各子载波在频率选择性衰落信道中不同的瞬时增益，动态地分配数据比特和 发射功率，可以优化系统性能，提高频谱效率。该文主要研究OFDM系统发射功率和传输比特数不变时误码率最 小化的自适应(MA1算法。提出一种以注水门限为迭代参数的MA算法，并引入有记忆步长迭代法，提高算法的稳 定性。仿真结果表明，与过去的算法相比，该算法能以较低的复杂度获得更好的性能。 -OFDM watterfilling
discrete-oEP
- Particle swarm optimization (PSO) is a novel metaheuristic inspired by the flocking behavior of birds. The applications of PSO to scheduling problems are extremely few.