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An Efficient Recognition Algorithm Between Analog and Digital Signals at Low SNR

机译:低信噪比的模拟信号与数字信号之间的高效识别算法

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摘要

Signal recognition plays more and more important roles in future communication. In this paper, we proposed a novel recognition algorithm between analog signals and digital signals at low SNR, combining non-linear transform and wavelet transform. The algorithm requires no priori condition, and has low calculation cost. Simulation results shows a higher correct recognition probability, 100 % at SNR of higher than 6 dB, 98% at 3dB and 90% at -4 dB.
机译:信号识别在未来的通信中扮演着越来越重要的角色。在本文中,我们提出了一种新的低信噪比的模拟信号和数字信号之间的识别算法,将非线性变换和小波变换相结合。该算法不需要先验条件,计算成本低。仿真结果表明,较高的正确识别概率:SNR高于6 dB时为100%,3dB时为98%,-4 dB时为90%。

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