基于神经网络的多传感器自适应滤波
Multisensor Adaptive Filtering Based on Neural Network
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摘要: 提出了利用神经网络自适应滤波原理解决多传感器信号处理的方法,通过对多路带噪声的数字模拟信号的滤波结果表明,该方法能快速、有效地消除主信号源的各种背景噪声.Abstract: A method of adaptive filtering based on the neural network to solve the problem of the multisensor signal processing is PrOPosed. The results of the simulating multichannel noise and signal filtering experiments, express that the method can decrease various background noise efficiently and quickly.