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在信号处理中, 用普通相关方法对信噪比信号的检测经常得不到很好的结果, 本文给出了用双相关图象去除杂光背景干扰的算法。该算法与普通相关检测方法相比有10dB左右的信噪比增益。
In the signal processing, the detection of signal to noise ratio using the common correlation method often fails to get good results. In this paper, an algorithm to remove the stray background interference by using the dual correlation image is given. Compared with the common correlation detection method, this algorithm has a signal-to-noise gain of about 10dB.