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A statistical model for detecting jumps and decaying pulses in the presence of a background noise

机译:用于在背景噪声存在下检测跳跃和衰减脉冲的统计模型

摘要

A statistical modeling technique using full Bayesian approach is proposed for use in the detection of jumps and decaying pulses in the presence of background noises. Two distributions, namely, the exponential-power and the Student-t distributions, are adopted for the purpose. Results suggest that both these distributions can give accurate recovery of the instants when the abrupt changes take place if the background noise level is lower than that of the changes by 3 dB. They also indicate that the exponential-power distribution is more useful when the signal-to-noise ratio falls below 0 dB.
机译:提出了一种使用全贝叶斯方法的统计建模技术,用于在存在背景噪声的情况下检测跳跃和衰减脉冲。为此,采用了两种分布,即指数幂分布和Student-t分布。结果表明,如果背景噪声水平比变化水平低3 dB,则这两种分布都可以使突变发生时的瞬间准确恢复。它们还表明,当信噪比降至0 dB以下时,指数功率分布会更有用。

著录项

  • 作者

    Chan CM; Tang SK; Wong H;

  • 作者单位
  • 年度 2009
  • 总页数
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类

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