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A Novel Fuzzy Filtering Method to Faint Harmonic Signals in UWB System

机译：超宽带系统中模糊谐波信号模糊滤波的新方法

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This paper discusses that fuzzy theory is applied to retrieve useful signal from strong jamming surroundings, it also addresses the feasibility of retrieving disturbed useful signal by using fuzzy filter. A new fuzzy filtering method is proposed for subme

机译：本文讨论了将模糊理论用于从强干扰环境中检索有用信号，并探讨了使用模糊滤波器检索干扰有用信号的可行性。提出了一种新的子集模糊滤波方法

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《Convergence Information Technology (ICCIT), 2007 International Conference on 》|2007年|P.308-311|共4页
会议地点 Gyeongju-si GyeongbukKorea
作者
Yang Ya-tao; Jiang Hua; Fan Xiao-hong;
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filtering theory; fuzzy set theory; ultra wideband communication; UWB system; colored noise; fuzzy filtering method; harmonic signal; self adaptive neural fuzzy elation system; stochastic noise elimination; ultra wideband wireless communication system;

机译：过滤理论模糊集理论；超宽带通信；超宽带系统；彩色噪音模糊滤波法谐波信号自适应神经模糊系统随机噪声消除；超宽带无线通信系统;

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2. Fuzzy Filtering of Sensors Signals in Manufacturing Systems with Time Constraints [J] . Anis M’halla, Etienne Craye, Mohamed Benrejeb, IAENG Internaitonal journal of computer science . 2010 ,第3期

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4. A Novel Fuzzy Filtering Method to Faint Harmonic Signals in UWB System [C] . Yang Ya-tao, Jiang Hua, Fan Xiao-hong International Conference on Convergence Information Technology . 2007

机译：一种新型模糊滤波方法，以便UWB系统中的微弱谐波信号
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A Novel Fuzzy Filtering Method to Faint Harmonic Signals in UWB System

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