Tikhonov Regularization in Pulse Signal Processing for Oscilloscope Measurements

A. V. Kleopin, M. A. Zenchenko
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Abstract

A model for oscilloscope measurements has been developed and the broadband pulses waveform recovering and regularization methods have been proposed. In practice due to the influence of noise and measurement uncertainty, input signal recovery requires equations that are ill-posed to be solved, thus regularization was used. We have chosen a stabilizing function and have found a number of regularization parameters to describe a recovery filter. A mathematical simulation and an experimental verification have been conducted to confirm that recovery of a pulse waveform with a bandwidth increased by 1.5 times is performed with an increase in the noise root mean square (RMS) value of a recovered signal by 1.5–3 times.
脉冲信号处理中吉洪诺夫正则化的示波器测量
建立了一种示波器测量模型,提出了宽带脉冲波形的恢复和正则化方法。在实际应用中,由于噪声和测量不确定性的影响,输入信号恢复需要求解病态方程,因此采用正则化方法。我们选择了一个稳定函数,并找到了一些正则化参数来描述一个恢复滤波器。通过数学仿真和实验验证,证实了恢复信号的噪声均方根(RMS)值提高1.5 ~ 3倍,可以恢复带宽增加1.5倍的脉冲波形。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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