重建间歇时间序列作为脉冲的叠加
Sajidah Ahmed1, Odd Erik Garcia1, Audun Theodorsen1
1Department of Physics and Technology, UiT The Arctic University of Norway, N-9037 Tromsø, Norway.
Physical review. E
|June 17, 2023
概括
本研究引入了一种解卷方法,从物理系统波动中重建脉冲到达时间和振幅. 该技术有效地处理噪声和波动特征的变化,使时间序列的准确重建成为可能.
科学领域:
- 物理 物理学 物理
- 信号处理 信号处理
- 统计力学 统计力学
背景情况:
- 许多物理系统表现出模拟为不相关脉冲叠加的波动,称为射击噪声或过的波桑过程.
- 精确估计脉冲到达时间和振幅对于理解这些系统至关重要.
研究的目的:
- 提出一种系统的解卷方法,用于估计来自射击噪声过程的脉冲到达时间和振幅.
- 在各种条件下评估方法的性能,包括不同的振幅和等待时间分布,添加噪声和脉冲持续时间变化.
主要方法:
- 对于通过过的Poisson过程生成的时间序列数据,应用了解卷化技术.
- 该方法重建时间序列,处理正负振幅,并用白色和彩色噪声进行测试.
- 使用功率频谱进行脉冲形状估计,与等待时间分布和采样率相关的约束.
主要成果:
- 解卷法成功地重建了不同脉冲幅度和等待时间分布的时间序列.
- 即使在适度的添加噪声和狭窄分布的脉冲持续时间的情况下,也可以实现准确的重建.
- 该方法的性能受到间歇性过程中信息丢失的限制,需要采样时间与平均等待时间的比率大约为1/20或更少.
结论:
- 开发的解卷方法为分析射击噪声和过的波桑过程提供了强大的工具.
- 平均脉冲函数可以从系统强迫中恢复,对过程间歇性的依赖有限.
- 该研究强调了信号采样率对于间歇性系统的准确重建的重要性.
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