Using TFCC and correlation algorithms for processing of same practical vibroseis seismic data showed that the former could better suppress noises and detect weak reflection signal distinctively.
用TFCC算法和相关算法来处理相同的实际可控震源地震数据，显示前者能更好地压制噪声，并能清晰地检测到微弱回波信号。
According to the detection demand of the weak photoionization signal, a new kind of data acquisition and processing system of photoionization signal is developed.
根据微弱光离子化信号的检测需要，开发出一种光离子化信号数据采集与处理系统。
Concerning the detection of weak signal in stronger noise background, a novel method was proposed in terms of stochastic resonance processing and by using the better de-noise feature of wavelet.
针对强噪声背景中的弱信号检测问题，在经典随机共振处理方法的基础上，利用小波良好的去噪特点，提出了随机共振加小波去噪检测弱信号的新方法。
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