一种用于通信与控制的神经模糊滤波方法

5th International Conference on Telecommunications in Modern Satellite, Cable and Broadcasting Service. TELSIKS 2001. Proceedings of Papers (Cat. No.01EX517) Pub Date : 2001-09-19 DOI:10.1109/TELSKS.2001.955872

Ž. Ćojbašić, V. Nikolic

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引用次数: 5

摘要

为了降低通信和控制系统中噪声的影响，研究了神经模糊自适应非线性滤波器的应用。基于软计算的自适应滤波器最大的优点是语言和数字信息可以有效地结合在一起。给出了一个统一的滤波器设计步骤，并考虑了不同的设计方法。

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An approach to neuro-fuzzy filtering for communications and control

To reduce the influence of noise in communication and control systems the use of neuro-fuzzy adaptive nonlinear filters is studied. The most important advantage of the soft computing based adaptive filters is that linguistic and numerical information can be efficiently combined. A unified procedure for filter design is presented, and different approaches are also considered.

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来源期刊

5th International Conference on Telecommunications in Modern Satellite, Cable and Broadcasting Service. TELSIKS 2001. Proceedings of Papers (Cat. No.01EX517)

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