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An Evaluation of Entropy Measures for Microphone Identification

Research findings have shown that microphones can be uniquely identified by audio recordings since physical features of the microphone components leave repeatable and distinguishable traces on the audio stream. This property can be exploited in security applications to perform the identification of...

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Publicado en:Entropy (Basel)
Autores principales: Baldini, Gianmarco, Amerini, Irene
Formato: Artigo
Lenguaje:Inglês
Publicado: MDPI 2020
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Acceso en línea:https://ncbi.nlm.nih.gov/pmc/articles/PMC7712015/
https://ncbi.nlm.nih.gov/pubmed/33287003
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e22111235
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