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Parameter Estimation of Noise Distribution Model of Electron Multiplying CCD Based on the Moment Estimation

机译:基于矩估计的电子乘法CCD噪声分布模型参数估计

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The electron multiplying CCD (EMCCD) use impact ionization to provide high gain in the charge domain. This enables performance with an equivalent input noise of much less than 1 rms electron at pixel rates. Based on the discussion of image noise sources and their statistic characteristics of the EMCCD, the noise distribution model is established. The method of moment estimation is applied to complete the parameter estimation of noise distribution model of the EMCCD. A Monte Carlo method is used to do the simulation calculations. Simulation results verify the effectiveness of the method of moment estimation. Acquiring series of images from the EMCCD when there is no signal input, experimental results demonstrate that parameter estimation values agree fairly well with the EMCCD camera parameters.
机译:电子乘法CCD(EMCCD)使用碰撞电离来在电荷域中提供高增益。这使得能够在像素速率下具有低于1 rms电子的等效输入噪声。基于图像噪声源的讨论及其EMCCD的统计特征,建立了噪声分布模型。应用片段估计的方法来完成EMCCD的噪声分布模型的参数估计。 Monte Carlo方法用于进行模拟计算。仿真结果验证了时刻估计方法的有效性。当没有信号输入时,从EMCCD获取图像系列,实验结果表明参数估计值与EMCCD相机参数相得益彰。

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