文件名称:dwt2
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本文提出了一种基于独立分量分析的音频数字水印方法。嵌入水印时,对原始音频文件进行一级小波分解,在分解
得到的逼近分量中利用随机混合方法嵌入水印后进行小波逆变换形成嵌入水印的音频文件。仿真实验结果表明这种方
法的强鲁棒性和可行性。-Abstract:Audio p roduction is one of the important digital multimedias, which transmit becomes more and more convenient. To
p revent the multimedia content from being stolen or illegally used, audio content p rotection techniques become increasingly impor2
tant so that the potential of these app lications can be reached. As the importantmethod of copyright p rotection, the digitalwater2
marking technology has been acquired widely recognition and research. This paper p resents a method of digital audio watermark2
ing based on independent component analysis. When embedding watermarking, the original audio is decomposed by single2level
discrete 12D wavelet transform, watermarking is embedded by mixing randomly to the app roximation coefficient vector obtained,
and the audio is single2level reconstructed receiving audio havingwatermarking. Emulated experiment results show that thismeth2
od is robust and feasible.
得到的逼近分量中利用随机混合方法嵌入水印后进行小波逆变换形成嵌入水印的音频文件。仿真实验结果表明这种方
法的强鲁棒性和可行性。-Abstract:Audio p roduction is one of the important digital multimedias, which transmit becomes more and more convenient. To
p revent the multimedia content from being stolen or illegally used, audio content p rotection techniques become increasingly impor2
tant so that the potential of these app lications can be reached. As the importantmethod of copyright p rotection, the digitalwater2
marking technology has been acquired widely recognition and research. This paper p resents a method of digital audio watermark2
ing based on independent component analysis. When embedding watermarking, the original audio is decomposed by single2level
discrete 12D wavelet transform, watermarking is embedded by mixing randomly to the app roximation coefficient vector obtained,
and the audio is single2level reconstructed receiving audio havingwatermarking. Emulated experiment results show that thismeth2
od is robust and feasible.
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