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1.发明申请公开(公告)号：US20080293353A1
公开(公告)日：2008-11-27
申请号：US12074772
申请日：2008-03-06
CPC分类号： H04W72/082 , H04K3/226 , H04K3/44 , H04K3/45 , H04K3/94 , H04W48/02 , Y02D70/142 , Y02D70/144 , Y02D70/146 , Y02D70/22
摘要： In a method of cognitive communication for non-interfering transmission, wherein the improvement comprises the step of conducting radio scene analysis to find not just the spectrum holes or White spaces; but also to use the signal classification, machine learning and prediction information to learn more things about the existing signals and its underlying protocols, to find the Gray space, hence utilizing the signal space, consisting of space, time, frequency (spectrum), code and location more efficiently.In a method of cognitive jamming where smart and energy efficient jamming techniques are suggested based on sensing, classification and machine learning of the existing signals.
摘要翻译： 在用于非干扰传输的认知通信的方法中，其中改进包括进行无线电场景分析的步骤，不仅找到频谱孔或白空间; 而且还要使用信号分类，机器学习和预测信息来了解有关现有信号及其基础协议的更多信息，找到灰色空间，从而利用由空间，时间，频率（频谱），代码 和位置更有效率。 在认知干扰的方法中，基于对现有信号的感测，分类和机器学习，提出智能和能量高效的干扰技术。
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2.发明申请公开(公告)号：US20130288734A1
公开(公告)日：2013-10-31
申请号：US13930184
申请日：2013-06-28
IPC分类号： H04W72/08
CPC分类号： H04W72/082 , H04K3/226 , H04K3/44 , H04K3/45 , H04K3/94 , H04W48/02 , Y02D70/142 , Y02D70/144 , Y02D70/146 , Y02D70/22
摘要： In a method of cognitive communication a system for generating non-interfering transmission, includes conducting radio scene analysis to find grey space using external signal parameters for incoming signal analysis without having to decode incoming signals.
摘要翻译： 在认知通信的方法中，用于产生非干扰传输的系统包括进行无线电场景分析以使用用于输入信号分析的外部信号参数来找到灰色空间，而不必对输入信号进行解码。
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3.发明授权公开(公告)号：US08929936B2
公开(公告)日：2015-01-06
申请号：US13930184
申请日：2013-06-28
CPC分类号： H04W72/082 , H04K3/226 , H04K3/44 , H04K3/45 , H04K3/94 , H04W48/02 , Y02D70/142 , Y02D70/144 , Y02D70/146 , Y02D70/22
摘要： A method and system of cognitive communication for generating non-interfering transmission, includes conducting radio scene analysis to find grey spaces using external signal parameters for incoming signal analysis without having to decode incoming signals. The disclosed cognitive communications system combines the areas of communications, signal processing, pattern classification and machine learning to detect the signals in the given spectrum of interests, extracts their features, classifies the signals in types, learns the salient characteristics and patterns of the signal and predicts their future behaviors. In the process of signal analysis, a classifier is employed for classifying the signals. The designing of such a classifier is initially performed based on selection of features of a signal detected and by selecting a model of the classifier.
摘要翻译： 用于产生非干扰传输的认知通信的方法和系统包括进行无线电场景分析以使用用于输入信号分析的外部信号参数来找到灰色空间，而不必对输入信号进行解码。 所公开的认知通信系统将通信领域，信号处理，模式分类和机器学习相结合，以检测给定的兴趣范围内的信号，提取其特征，对信号进行分类，学习信号的显着特征和模式， 预测他们未来的行为。 在信号分析过程中，采用分类器对信号进行分类。 这种分类器的设计最初是基于检测到的信号的特征选择和通过选择分类器的模型进行的。
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4.发明授权公开(公告)号：US08515473B2
公开(公告)日：2013-08-20
申请号：US12074772
申请日：2008-03-06
CPC分类号： H04W72/082 , H04K3/226 , H04K3/44 , H04K3/45 , H04K3/94 , H04W48/02 , Y02D70/142 , Y02D70/144 , Y02D70/146 , Y02D70/22
摘要： In a method of cognitive communication for non-interfering transmission, wherein the improvement comprises the step of conducting radio scene analysis to find not just the spectrum holes or White spaces; but also to use the signal classification, machine learning and prediction information to learn more things about the existing signals and its underlying protocols, to find the Gray space, hence utilizing the signal space, consisting of space, time, frequency (spectrum), code and location more efficiently.
摘要翻译： 在用于非干扰传输的认知通信的方法中，其中改进包括进行无线电场景分析的步骤，不仅找到频谱孔或白空间; 而且还要使用信号分类，机器学习和预测信息来了解有关现有信号及其基础协议的更多信息，找到灰色空间，从而利用由空间，时间，频率（频谱），代码 和位置更有效率。
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