作者: Mario Gonzalez-Lee , Luis J Morales-Mendoza , Rene F Vazquez-Bautista , Efren Morales-Mendoza , FIEC Poza Rica
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摘要: In this work, a watermark detection system for audio signals in temporal domain is proposed, the embedding algorithm multiplicative rule and optimal equation derived constraints using maximum likelihood (ML) criterion. The threshold also Neyman-Person criterion resulting blind has very low complexity. Computer simulations were performed applying proposed model to results show that semi fragile since it able detect watermarks if watermarked object was severely attacked by noise, pass filtering among other attacks but not capable of detecting others such MP3 compression.