A signal enhancement method based on the reverberation statistical information

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 obt...

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Veröffentlicht in:EURASIP journal on advances in signal processing 2022-12, Vol.2022 (1), p.1-13, Article 71
Hauptverfasser: Yu, Ge, Sun, Jiangjiang, Li, Xiukun
Format: Artikel
Sprache:eng
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Zusammenfassung: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.
ISSN:1687-6180
1687-6172
1687-6180
DOI:10.1186/s13634-022-00902-2