Paper data
Title:
Audiowatermark Detection for All-pass Pirat Attack: Hybrid Blind Equalization/Wienr Deconvolution Approach Author(s): Larbi Sonia, Laboratoire des Systèmes de Communication - Ecole Nationale d'Ingénieurs de Tunis Jaidane Mériem, Laboratoire des Systèmes de Communication - Ecole Nationale d'IngÈnieurs de Tunis Moreau Nicolas, Département Traitement du Signal et des Images - Ecole Nationale Supérieure des Télécommunications Page numbers in the proceedings: Volume I pp 713-716 Session: Watermarking
Paper abstract
Digital audiowatermarking can be viewed as a communication system (cf. Figure 1) where the information $v_n$ is embedded imperceptibly into the digital audio signal $x_n$ through appropriate spectral shaping filter $H_j$ . The resulting watermark $t_n$ should be robust to standard signal manipulations (i.e. compression, A/D-D/A conversion, resampling,...) on one side, and to intentional pirat attacks on the other side.
In particular, all-pass filter attacks introduce a nonminimum phase problem in the watermarking detection scheme of figure 1, which strongly degrades the performances of detection techniques based on mean square criteria. We propose in this paper a solution to the above mentioned problem, combining Wiener deconvolution and blind equalization based on a non quadratic criterion.
Paper
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