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工程意义上的高斯脉冲信号不失真采样分析
引用本文:王云静,张晓林,赵雷. 工程意义上的高斯脉冲信号不失真采样分析[J]. 遥测遥控, 2019, 0(1): 50-55
作者姓名:王云静  张晓林  赵雷
作者单位:北京航空航天大学电子信息工程学院
基金项目:西安爱生技术集团创新发展基金(ASN-IF2015-1405)
摘    要:
基于高斯脉冲信号的时频域特征,分析其采样条件。针对高斯脉冲信号这种非周期信号采样的特殊性,指出高斯脉冲信号采样还需满足峰值采样条件,并对不同采样点数下峰值误差能够达到最小值的概率进行建模。理论分析和仿真结果表明,按照所提出的采样条件进行采样,能够保证高斯脉冲信号采样的峰值误差最小,同时所提出的概率模型能够比较准确地估计出在不同采样点数下峰值误差能够达到最小值的概率。

关 键 词:高斯脉冲信号  时频域分析  采样条件  概率模型

Engineering Undistorted Sampling Analysis of Gaussian Pulse Signal
Wang Yunjing,Zhang Xiaolin,Zhao Lei. Engineering Undistorted Sampling Analysis of Gaussian Pulse Signal[J]. Telemetry & Telecontrol, 2019, 0(1): 50-55
Authors:Wang Yunjing  Zhang Xiaolin  Zhao Lei
Affiliation:(School of Electronic and Information Engineering, Beihang University, Beijing 100191, China)
Abstract:
Based on the characteristics of Gaussian pulse signal in time domain and frequency domain, the basic conditions for the sampling of Gaussian pulse signal are analyzed in this paper. For the particularity of Gaussian pulse signal sampling, it is pointed out that Gaussian pulse signal sampling needs to meet the peak sampling condition, and the probability that the peak error can reach the minimum value under different sampling points is modeled. The theoretical analysis and simulation results show that the sampling conditions proposed in this paper can restore the original Gaussian pulse signal in minimum distortion, and the proposed probability model can accurately predict the probability that the peak error can reach the minimum value under different sampling points.
Keywords:Gaussian pulse signal  Time-frequency domain analysis  Sampling condition  Probability model
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