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认知无线电频谱检测技术的研究,有循环检测,周期性检测,仿真程序和结果。很全面。,Cognitive radio frequency spectrum detection technology, there are cycle detection, periodic testing, simulation program and results. Very comprehensive.
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对认知无线电的仿真程序,使用simulink进行仿真,On cognitive radio simulation program, using simulink simulation
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认知无线电频谱感知匹配滤波器检测仿真,选用FM信号,分析了虚警概率-Matched filter spectrum sensing cognitive radio simulation testing, the choice of FM signals, analysis of the probability of false alarm
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认知无线电在CDMA系统中基于非合作博弈功率控制技术的MaTLAB仿真-Cognitive Radio in CDMA system, power control based on non-cooperative game simulation techniques MaTLAB
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认知无线电系统中,主用户和认知用户仿真代码,可以根据需要加入多个主用户和认知用户等。matlab的实现-Cognitive radio system, the primary users and cognitive user simulation code, as needed into a number of primary users and cognitive users. matlab implementation
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cognitive radio simulation
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cognitive radio system matlab simulation
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Spectrum Sensing in Cognitive Radio-Optimal Multiband Joint Detection for Spectrum Sensing in Cognitive Radio Networks
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认知无线电(Cognitive Radio)中的频谱检测(Spectrum Sensing)算法仿真源代码-Cognitive radio (Cognitive Radio) in the spectrum detection (Spectrum Sensing) algorithm simulation source code
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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
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无线通信中的认知无线电协作频谱感知方针代码-simulation code for cooperative spectrum sensing in cognitive radio
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Cognitive Radio Simulation Code with MATLAB
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cognitive radio project report along with simulation results
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认知无线电技术中频谱感知中的能量感知仿真代码。-Spectrum sensing in cognitive radio technology in the power aware simulation code.
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认知无线电中 硬判决 matlab仿真代码 EGC-Hard decision cognitive radio matlab simulation code EGC
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simulation of cognitive radio using matlab
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Its matlab code for simulation of cognitive radio.
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认知无线电,软件无线电的原理仿真的matlab代码-Cognitive radio, software-defined radio principles simulation matlab code
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认知无线电matlab模拟小程序,带图分析-Cognitive radio matlab simulation applet with FIG Analysis
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