基于MATLAB直接序列扩频通信系统

Raptor and Fountain Codes

OFDM BPSK 仿真 (OFDM BPSK simulation)

《全面详解LTE》一书配套代码，代码完整，但是可能存在殷matlab版本问题而无法运行的情况(Complete Code for "Comprehensive and Detailed Explanation of LTE")

北斗卫星导航系统空间信号接口控制文件，这是正式版(BeiDou Navigation Satellite System Interface Control Document)

VC6连接Redis服务器示例，系统:win32 xp sp3，编译器:VC6，无依赖(VC6 connect Redis server example, the system: win32 xp sp3, compiler: VC6, no reliance)

说明：  是一个关于信道容量和信道估计的很全面的matlab源程序(is one of the channel capacity and channel estimation of the very comprehensive source Matlab)

三个参数不同的gabor滤波器设计，包括图片和源代码(Three parameters of different gabor filter design, including images and source code)

建立了直接序列扩频系统的matlab仿真模型，在信道中存在高斯白噪声和干扰的情况下，对系统的在不同扩频增益下的误码率性能进行了仿真及分析，分析了扩频码的自相关性、误码率、性噪比。(A matlab simulation model of the direct sequence spread spectrum system, the existence of Gauss white noise and interference in the channel under the condition of the system in different spreading gain the BER performance of the simulation and analysis, analysis of PN code autocorrelation, BER, SNR)

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：  基于MATLAB的码本预编码算法，包含码本文件和预编码文件(Codebook precoding algorithm based on MATLAB)