神经网络在信号处理中的应用
Signal Processing Using Neural Network
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摘要: 运用BP网络来消除信号的随机噪声和模式识别.作为例子,考虑了正弦波、矩形波和三角波3种信号.在50%噪声情况下,BP网络仍能有效地消除这3种信号中的随机噪声并正确地找出它的理想模式.Abstract: In this paper,BP network is used to remove random noise in signal and to recognize ideal patterns.As an example,three signals,sine-wave,rectangie-wave and triguetrous wave are discussed.In the case of 50% noise,BP network can effectively remove noise in the signals and exactly fit them into their ideal patterns.