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- 认知无线电技术的提出是为提高频谱利用率，而认知无线实现的关键技术是频谱感知，众所周知协作检测提高了衰落环境中认知用户系统检测的性能，该文章是基于协作检测提出新的检测方案，利用了双门限方法提高了系统性能，兼顾带宽有限和增强性能两个方面，是基于门限检测的协作检测性能优化的前提。对以后门限优化协作检测非常有用。-In this paper, we employ a double threshold method in energy detector to perform spectrum sensin
CooperativeSpectrumSensingBasedoSNRComparisonforCo
- 认为不同的认知节点信噪比( SNR) 导致了各节点本地检测结果的可靠性不同,故在此基础上提出了一种基于融合中心进行SNR比较 的认知无线电协作频谱检测算法。-That the different cognitive node SNR (SNR) has led to the detection results of the reliability of the local node is different on this basis it was proposed based on f
structured-light-feature-extraction
- 基于Hessian矩阵的条纹中心提取方法提取光条中心点的亚像素图像坐标，并将光条中心点连接成光条中心线 然后利用直线近似算法将光条中心线在拐点处拆分为近似直线:最后将满足角度约束和图像原点到近似直线的距离约束的共线中心点进行融合，对融合后的共线中心点进行直线拟合得到直线光条的参数方程。-Hessian matrix-based extraction method of extracting light stripe center of the center section of the sub-
STM32-for-ucgui-ucos
- ucos-II融合uc-gui的程程序，结合重力传感器 -CENTER-II fusion uc-gui process procedures, combined with gravity sensor
ICCCECE109
- Wireless sensor DD systems are designed and deployed for detection application. Wireless sensor networks differ from general data networks and they require a different design paradigm that considers the co-operative nature of sensor nodes and
Cyclothings
- This code implements an energy efficient collaborative cyclostationary spectrum sensing approach for cognitive radio systems. An existing statistical hypothesis test for the presence of cyclostationarity is extended to multiple cyclic frequencies and
AgentXDemo
- 呼叫中心是IP-PBX技术与传统呼叫中心的完美融合，企业无需自己购买服务器，即可拥有专业的呼叫中心服务。它将座席分配给位于不同地点的不同企业使用，集呼叫中心、电话营销、客户关系管理、销售任务管理、短信、传真等功能于一体，为现代化企业量身打造的综合通信服务平台。-Call center is IP-PBX technology and the perfect fusion of traditional call center, companies do not need to buy their
Wavelet-Image-Fusion
- 基于低频融合策略的小波图像融合算法可分为三个细节：高频带的融合、低频融合的对象、低频融合策略的程序代码。其中对最后一部分中一些细节问题要花心思处理，比如区域大小的确定、区域边界与图像边界的关系、区域中心与区域中各点的权值确定、区域中心在原始图像中的具体位置等等。-Fusion strategy based on low-frequency wavelet image fusion algorithm can be divided into three details: integration,
1-s2.0-S131915781500097X-main
- In this paper we uate the performance of cooperative spectrum sensing (CSS) where each cognitive radio (CR) employs an improved energy detector (IED) with multiple antennas and uses selection combining (SC) for detecting the primary user (PU) in