基于Haar小波的QAM降噪和基于神经网络的非线性信道识别

S. Lee, B. Nam
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引用次数: 6

摘要

近年来,利用小波和神经网络进行调制和均衡得到了相当多的关注。提出了一种基于离散小波变换和神经网络的星座均衡新方案。采用小波变换进行降噪,神经网络自适应更新均衡器系数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Noise reduction using Haar wavelet and identification of nonlinear channel for QAM using neural network
Recently, a considerable amount of attention is being given to the use of wavelets and neural network for modulation and equalization. The authors proposed a new scheme of equalization for constellation using discrete wavelet transform (DWT) and neural network. The DWT is used for noise reduction and the neural network is used to update the equalizer coefficients adaptively.
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