This paper proposes a reverberation suppression algorithm utilizing fractional lower-order moments based on statistical properties. As fractional lower-order moments can only be applied on symmetric α-stable random variables, the energy redistribution method is used, so reverberation signals can obtain the characteristic exponents of the symmetric α-stable distribution. To evaluate the proposed algorithm, an experiment involving simulated linear frequency modulation reverberation with the proposed method and comparison methods is performed and discussed. Moreover, an experiment is conducted using reverberation as measured from the lake. The results show that the proposed algorithm can achieve better reverberation suppression and signal enhancement performance compared with other methods.

本文提出了一种基于统计特性的利用分数低阶矩的混响抑制算法。由于分数低阶矩只能应用于对称的α稳定随机变量，因此采用了能量再分配方法，因此混响信号可以获得对称α稳定分布的特征指数。为了评估所提出的算法，进行并讨论了使用所提出的方法和比较方法进行的涉及模拟线性调频混响的实验。此外，使用从湖中测量的混响进行实验。结果表明，与其他方法相比，所提算法可以实现更好的混响抑制和信号增强性能。