Description: DIGITAL WATERMARKING OF AUDIO SIGNALS USING A PSYCHOCOUSTIC AUDITORY MODEL AND SPREAD SPECTRUM THEORY. Platform: |
Size: 8192 |
Author:ali |
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Description: 用双音频输入重新仿真,实现频谱扩展功能,产生滤波后高斯过程功率谱密度和相关高斯序列时域值-Re-simulation with dual audio inputs, to achieve spread spectrum function, resulting in filtered Gaussian process Gaussian power spectral density and the associated value of time-domain sequence Platform: |
Size: 26624 |
Author:Delia |
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Description: 一种新的扩频音频水印算法,很好的一篇数字水印文章-A new spread spectrum audio watermarking algorithm, a very good article of a digital watermark。 Platform: |
Size: 133120 |
Author:li |
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Description: 发生在时变系统中所展示的频谱扩展。待仿真系统是一个简单系统,其中系统的代桶输入是一个形为x(t)=cos[2π(f0+f1)t]的“音频”。-Occurred in the time-varying system in spread spectrum display. Subject to the simulation system is a simple system in which the generation of the system input is a bucket-shaped to x (t) = cos [2π (f0+f1) t] of the " audio." Platform: |
Size: 1024 |
Author:yajuiwun |
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Description: Speech Based Watermarking for Digital Images
This paper presents a novel scheme of
watermarking of digital images for copyright protection and
authentication. In this paper we proposed a method of
embedding owner’s speech signal. Speech being a biometric data,
the watermark signal in this method is expected to be more
meaningful and has closer correlation with copyright holder.
The main issue of concern here is the capacity because the speech
data has large number of samples. Linear predictive coding is
used to encode the audio data. Here, speech samples are
imperceptibly inserted using spread spectrum technique into the
mid frequency band of wavelet transform of image which makes
it robust to lossy compression. Applications for such a speechhiding
scheme include copy protection, authentication and covert
communication. Platform: |
Size: 195584 |
Author:Nayan Patel |
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Description: In this paper we proposed a method of
embedding owner’s speech signal. Speech being a biometric data,
the watermark signal in this method is expected to be more
meaningful and has closer correlation with copyright holder.
The main issue of concern here is the capacity because the speech
data has large number of samples. Linear predictive coding is
used to encode the audio data. Here, speech samples are
imperceptibly inserted using spread spectrum technique into the
mid frequency band of wavelet transform of image which makes
it robust to lossy compression. Applications for such a speechhiding
scheme include copy protection, authentication and covert
communication. Platform: |
Size: 1614848 |
Author:Nayan Patel |
Hits: