本文就被幅值较高、频带很宽的不规则噪声信号所淹没的微弱有用信号的提取从理论上予以论证，并提出一个采用80C196KC单片机实现的方案。

The implication give evidence for picking up weak signal to be flooded by noise and set forth plan with the help of 80C196KC.

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六类是新一代的标准，速度将是超五类的两倍，而且有更严格的噪声和干扰规则。

Cat6 is the next-gen standard that will handle speeds twice as fast as Cat5e, and has stricter rules about noise and crosstalk.

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本文利用模糊神经网络的通用逼近性，证明了在噪声情况下利用有限规则数的模糊神经网络可以以最小的误差预测混沌系统。

The thesis uses fuzzy neural network' s approach ability to prove that a fuzzy neural network with a finite rule number can optimally predict a chaotic system with noise.

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