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  <responseDate>2026-10-24T07:06:34Z</responseDate>
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      <header>
        <identifier>oai:meral.edu.mm:recid/4475</identifier>
        <datestamp>2021-12-13T04:03:18Z</datestamp>
        <setSpec>1582963302567:1597824273898</setSpec>
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          <dc:title>Audio Steganalysis Based on Independent Component Analysis</dc:title>
          <dc:creator>Tint, Yawai</dc:creator>
          <dc:creator>Mya, Khin Than</dc:creator>
          <dc:description>Steganalysis is the art and science ofdetecting messages hidden using steganography.This paper proposes steganalysis of audio signalusing Independent Component Analysis. Adetection method is used for detecting hiddenmessage in compressed audio files produced byMP3Stego. Steganography can be successfullydetected during the Principle ComponentAnalysis (PCA) whitening stage. A nonlinearrobust batch ICA algorithm, which is able toefficiently extract various temporally correlatedsources from their observed linear mixture areused for blind steganography extraction.</dc:description>
          <dc:date>2012-02-28</dc:date>
          <dc:identifier>http://hdl.handle.net/20.500.12678/0000004475</dc:identifier>
          <dc:identifier>https://meral.edu.mm/records/4475</dc:identifier>
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