Bin YAN(颜斌), Xiao-ming WANG(王小明), Yin-jing GUO(郭银景)
School of Information and Electrical Engineering, Shandong University of Science and Technology. Qingdao 266510, China
Abstract-A large class of multimedia and biomedical signals c an be modeled as Autoregressive (AR) random processes. Performance of watermarki ng embedding algorithms utilizing this host model is still left unexplored. The authors investigate the decoding performance of Spread Spectrum (SS) embedding a lgorithm in the standard Additive White Gaussian Noise (AWGN) channel with the h ost signal being modeled as AR process. The SS embedding algorithm also use line ar interference cancelation in the subspace spanned by watermark pattern. They s tudy the influence of design parameters on the decoding performance. The analyti c result is verified by Monte Carlo simulation on synthesized AR process. The r esult may be helpful to design watermarking system for speech, biomedical and im age signals.
Key words-spread spectrum watermarking; interference ca ncelation; AR process; performance analysis
Manuscript Number: 1674-8042(2010)03-0271-05
dio: 10.3969/j.issn.1674-8042.2010.03.15
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