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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...
Tallennettuna:
| Julkaisussa: | Entropy (Basel) |
|---|---|
| Päätekijät: | , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
MDPI
2020
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| Aiheet: | |
| Linkit: | 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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