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A Survey of Spectrum Sensing Algorithms The spectrum sensing problem has gained new aspects with cognitive radio and opportunistic spectrum access concepts. It is one of the most challenging issues in cognitive radio systems. In this paper, a survey
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bp网络实现认知无线电的检测和预测，从而达到了对频谱的分配-bp cognitive radio network detection and prediction, so as to achieve the allocation of spectrum
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基于信道的历史信息来预测不同信道的未来可用时间可以帮助CR选择一个最佳信道进行信息传递。不同的预测准则应用到周期或是随机的开关模式中。一个CR可以学习以往不同信道的模式。我们提出一个简单的分类和学习方法去检测模式的类型和收集需要的信息用于智能信道的选择。MATLAB仿真结果显示提出的方案在随机信道的随机和周期模式中都有优越的表现。随着时间的变化，新到的切换次数减少到55 ，并且延迟时间也相应减少，而吞吐量却在提高。-Prediction of future availability times
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working of the fifth generation intelligent radio that is Cognitive Radio (CR) system which works on predictive data rate and propose ANFIS based learning scheme to introduce intelligence in it. The testing data set is taken from training set. Valid
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该程序是通信中认知无线电的频谱预测模型的相关源代码，对通信方面的同学非常有用，带平台-The program is the communication of cognitive radio spectrum prediction model related to the source code, for communications students very useful, with platform
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The spectrum sensing problem has gained new
aspects with cognitive radio and opportunistic spectrum access
concepts. It is one of the most challenging issues in cognitive
radio systems. In this paper, a survey of spectrum sensing
methodologie
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认知无线电网络中的频谱聚合技术，提出自己的想法和观点。-Cognitive radio network spectrum aggregation technology, put forward their own ideas and opinions.
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matlab code for channel status prediction using hidden markov model in cognitive radio
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neural network ,Spectrum prediction in the cognitive radio system
attracts more and more attention. It can predict future spectrum
holes to save energy of spectrum sensing and to improve the
efficiency of spectrum access.
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neural network used for spectrum prediction using genetic algo in cognitive radio network
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这是一个Matlab实现的能量检测程序，通过能量预测减少整体的错误率，从而实现对协作频谱感知的优化。它在认知无线电网络的自适应环境中表现很好，可以更好地填补频谱空洞。(This is a Matlab implementation of energy detection procedures, through the energy prediction to reduce the overall error rate, in order to achieve the optimization o
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