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On analysis of exponentially decaying pulse signals using stochastic volatility model

机译:基于随机波动率模型的指数衰减脉冲信号分析

摘要

A stochastic volatility model incorporating the exponential power distributions is adopted in the present study to analyze exponentially decaying pulses in the presence of background noises of various magnitudes. The discussions are focused on its effectiveness in the determination of the instant of the pulse initiation and the decay constant. The results are compared with those obtained by the conventional short-time Fourier transform. It is found that the present stochastic volatility model can retrieve the instant of the pulse initiation and the decay constant within engineering tolerance even when the noise is slightly stronger that the pulse amplitude. Its performance is substantially better than that of the Fourier transform when the frequency of the decay pulse fluctuates.
机译:在本研究中,采用了包含指数功率分布的随机波动率模型,以分析存在各种幅度背景噪声时的指数衰减脉冲。讨论的重点是确定脉冲起始时刻和衰减常数的有效性。将结果与通过常规短时傅立叶变换获得的结果进行比较。已经发现,即使当噪声比脉冲幅度稍强时,本随机波动率模型也可以在工程公差范围内检索脉冲启动的瞬间和衰减常数。当衰减脉冲的频率波动时,其性能明显优于傅立叶变换。

著录项

  • 作者

    Chan CM; Tang SK; Wong H;

  • 作者单位
  • 年度 2006
  • 总页数
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 入库时间 2022-08-20 20:56:12

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