基于TD-BP网络的噪声滤除
Noise Canceller Based on TD-BP Network
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摘要: 为更好地消除噪声,提出TD-BP神经网络拟合未知的噪声信道滤波器,讨论了它的模型与学习算法及其通用逼近性.基于TD-BP神经网络的噪声消除器具有神经网络分布式并行信息处理能力,利用TD-BP逼近噪声,然后抵消噪声得到有用信号,具有较好的鲁棒性和除噪性能.Abstract: This article introduces TD-BP network which can simulate sealed noise channel filter to cancel noise better.Its model,learning algorithm and universal approximation are discussed.Noise canceller based on TD-BP network has the ability to parallel-distributed in signal processing.During cancellation,TD-BP network is used to approximate noise,then the noise is cancelled and the useful signal is recovered.The simulation result indicates that TD-BP network is robust and easy to use.