Paper Info
Title
An information-theoretic analysis of dirty paper coding for informed audio watermarking
Abstract
Upon the introduction a simplified distortion model for a Gaussian audio watermaking scenario, we derive a lower bound for the Gelfand-Pinsker capacity of the watermark channel. Then, we use the capacity bound for designing an efficient practical watermarking scheme based on dirty trellis codes. The proposed information-theoretic framework is then validated, through the use of experimentally acquired audio signals, with the use of a recently proposed frequency-domain audio watermarking. Both an “ideal” (reflection-free) Gaussian acoustic channel and a realistic multipath acoustic channel are considered.
Year
DOI
Venue
2014
10.1109/ITA.2014.6804212
ITA
Keywords
Field
DocType
realistic multipath acoustic channel,distortion model,ideal gaussian acoustic channel,gelfand-pinsker capacity,gaussian channels,information-theoretic analysis,audio coding,audio watermarking,audio signal acquisition,frequency-domain analysis,multipath channels,dirty trellis codes,acoustic signal detection,dirty paper coding,reflection-free gaussian acoustic channel,frequency-domain audio watermarking,channel capacity,watermark channel,informed audio watermarking,gaussian audio watermarking scenario,trellis codes,frequency domain analysis
Dirty paper coding,Audio signal,Mathematical optimization,Digital watermarking,Speech coding,Computer science,Algorithm,Communication channel,Watermark,Speech recognition,Distortion,Channel capacity
Conference
Citations 
PageRank 
References 
0
0.34
5
Authors
4
Name
Order
Citations
PageRank
Andrea Abrardo137647.39
M. Barni23091246.21
Andrea Gorrieri3312.98
Gianluigi Ferrari41690139.36