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In this thesis, we propose a discrete wavelet transform (DWT) based audio watermarking (DAW) for mobile ad hoc network (MANET). With the discrete wavelet transform (DWT), the audio signal can be transformed into frequency domain ranging from low frequency to high frequency. Besides, the high frequency spectrum is less sensitive to human ear. That is the(More)
This paper aims to explore the feasibility of embedding Cellophane's QR Code in sound watermarking and conducting simultaneous linkage of hidden information through the principles of psychological and physiological models. In the research, we tried to realize the theory through Visual Basic and observed that different type of music would indirectly affect(More)
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