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Overlapping Signal Separation in DPX Spectrum Based on EM Algorithm

机译:基于EM算法的DPX光谱中的重叠信号分离

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Overlapping signal separation in spectrum is a difficult problem. We use Gamma Mixture Model to formulate the distribution of signal power in each frequency bin of digital phosphor technology (DPX) spectrum. Then Expectation Maximization (EM) Algorithm is used to solve the model. Simulation results show that when CIR is greater than 2.7dB, parameters' estimation error rate of this algorithm is less than 1e-5.
机译:频谱中的重叠信号分离是一个难题。我们使用伽玛混合模型来制定数字荧光技术(DPX)光谱的每个频率箱中信号功率的分布。然后期望最大化(EM)算法用于解决模型。仿真结果表明,当CIR大于2.7dB时,该算法的参数估计误差率小于1E-5。

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