OQAM_20130906

这是一个用来用手机操控电脑上的ppt的一个源码，挺有意思的，可以用来做参考(thiao this is a android ffio fjdiofj fjia ofji afjifjidjifiroagjiorajpo)

四路信号的多路复用研究及仿真实现，通过时隙的分配观察复用前后的波形图。(Four channel signal multiplexing research and simulation implementation, through the slot allocation to observe the waveform before and after multiplexing)

一个波束形成的例子，比较了在瑞利信道中使用波束成形和不使用波束成形的误码率。(An example of beamforming is made to compare beamforming and without beamforming bit error rate in Rayleigh channel.)

Capacity of Fading Gaussian Channels

说明：  前已提出的频谱感知方法主要包括匹配滤波器检测、 能量检测、 循环平稳特征检测以及多分辨率频谱感知. 这些方法均为单节点感知方法.然而，在阴影和深度衰落情况下， 单个节点的感知结果并不可靠， 因此， 需要对多个节点的感知结果进行融合，以提高检测可靠性， 即协作感知技术. 文献采用“或” 准则对各个 CR 感知结果进行融合. 文献则提出了基于 D-S 证据理论的协作频谱感知算法，虽然该算法的性能比“或” 准则或“与”准则要好， 但需要存储大量历史信息， 算法的计算复杂度也很高. 文献中分析了采用似然比检测(likelihood ratio test， LRT) 的软判决与采用“与” 准则的硬判决的性能， 结果表明采用软判决的协作感知性能更优(Previously proposed spectrum sensing methods mainly include matched filter detection, energy detection, cyclostationary feature detection and multi-resolution spectrum sensing. These methods are all single node sensing methods. However, in the case of shadow and deep fading, the sensing results of single node are not reliable, so, It is necessary to fuse the sensing results of multiple nodes to improve the detection reliability, i.e. cooperative sensing technology. In the literature, "or" criterion is used to fuse the CR sensing results. In the literature, a cooperative spectrum sensing algorithm based on D-S evidence theory is proposed. Although the performance of the algorithm is better than "or" criterion or "and" criterion, a large amount of historical information needs to be stored, The computational complexity of the algorithm is also very high. In the literature, the performance of the soft decision based on the likelihood ratio test)

说明：  实现optisystem中matlab component的ofdm仿真。这是调制代码 解调代码在另一个程序里。(Realize ofdm simulation of matlab component in optisystem. This is the modulation code. The demodulation code is in another program.)

GBT 15946-2008 GPIB可编程仪器标准数字接口的高性能协议 概述 (GBT 15946-2008 GPIB Programmable Instruments standard digital interface for high-performance protocol Overview)

关于常规信号，线性调频信号和相位编码信号的检测和估计(detection and analaysis of normal signal, LFM and phase coding signal.)

给出了OFDM在卫星通信中的系统框图并 在Simulink中仿真实现，利用改进的CMA恒模算法进行盲均衡处理，来去除时变卫星信道对信号的影响,基于4阶累积量的方法 将OFDM信号与其他调制类型信号区分开来(OFDM is given in the satellite communication system block diagram and Simulation in Simulink using the modified constant modulus algorithm CMA for blind equalization, to remove the time-varying satellite channel on the signals, based on 4-order cumulant method OFDM signals and other types of signal modulation to distinguish)

说明：  ldpc编码的matlab实现，供大家参考(Matlab implementation of LDPC coding for your reference)