Chengfa Wang

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This paper presents a novel watermarking technique for digital audio signals. A visually recognizable binary image served as a watermark is embedded into an audio signal in discrete cosine transform domain. In order to enhance robustness and make good use of masking characteristics of the audio signal, the techniques of pseudo-random permutation and(More)
In this paper, a new approach named environmental discrimination learning (EDL) is proposed to remove the effects of the environment noises including the additive noise and the channel distortions. This method optimizes the environment parameters by the minimum classification error (MCE) criterion which trains the parameters of a given class dependently on(More)
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