modbus-master

3g无线网络规划方法，WCDMA无线小区规划(3g wireless network planning, WCDMA Cell Planning)

这个例子显示了如何使用的Windows RegisterDeviceNotification功能，收到WM_DEVICECHANGE消息(This example shows how to use the Windows RegisterDeviceNotification function to receive WM_DEVICECHANGE messages)

基于子空间的MIMO-OFDM系统的盲信道估计，可直接运行(Subspace-based MIMO-OFDM system for blind channel estimation can be directly run)

CAREL控制器通讯协议，通过这个文件即可编写自己carel控制器监控程序(CAREL DLL_LIBRARY32_2.1)

仪器仪表MODBUS RTU 协议,里面对每一帧含义进行了解释标识与举例。(Instrumentation MODBUS RTU protocol, in the face of each frame in meaning explained with an example )

一段MIMO信道matlab源代码，适合论文仿真编程(A MIMO channel matlab source code, suitable for the simulation programming)

Smoothing Filter-based Intensity Modulation a spectral preserve

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：  wireless communication channels model

本文根据移动通信衰落信道的工作机理, 基于加性高斯白噪声信道( AWGNChannel) 、 落信道( RayleighFading Channel) 、莱斯衰落 icianFadingChannel) 的仿真模型, 并利用M 行了衰落信道的误比特率性能的仿真分析。(Based the working mechanism of the mobile communications fading channel, Based on the additive white Gaussian noise channel (AWGNChannel), The down channel (RayleighFading Channel), Rice fading icianFadingChannel) simulation model, and the use of M Line simulation analysis of the the fading channel bit error rate performance.)