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On analysis of exponentially decaying pulse signals using stochastic volatility model. Part II: Student-t distribution (L)

机译:使用随机波动率模型分析指数衰减脉冲信号。第二部分:学生t分布(L)

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The authors have recently demonstrated how the stochastic volatility model incorporating the exponential power distribution can be used to retrieve the instant of initiation of an exponentially decaying pulse and its decay constants in the presence of background noises. In the present study, the Student-t distribution, which can be expressed in a two-stage scale mixtures representation, is adopted in the stochastic volatility model. It is found that the corresponding performance is comparable to that for the case of the exponential power distribution when the signal-to-noise ratio is larger than or equal to 3 dB. The performance deteriorates quickly when the signal-to-noise ratio drops below 0 dB. (c) 2006 Acoustical Society of America.
机译:作者最近证明了结合指数功率分布的随机波动率模型如何用于在存在背景噪声的情况下检索指数衰减脉冲的启动瞬间及其衰减常数。在本研究中,在随机波动率模型中采用了学生t分布,该分布可以用两阶段标度的混合物表示。发现当信噪比大于或等于3 dB时,相应的性能可与指数功率分布的情况相媲美。当信噪比降至0 dB以下时,性能会迅速下降。 (c)2006年美国声学学会。

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