TAILIEUCHUNG - Báo cáo sinh học: " Review Article Time-Frequency Analysis and Its Application in Digital Watermarking"

Tuyển tập các báo cáo nghiên cứu về sinh học được đăng trên tạp chí sinh học Journal of Biology đề tài:Review Article Time-Frequency Analysis and Its Application in Digital Watermarking | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2010 Article ID 579295 20 pages doi 2010 579295 Review Article Time-Frequency Analysis and Its Application in Digital Watermarking Srdjan Stankovic Faculty of Electrical Engineering University of Montenegro 20000 Podgorica Montenegro Correspondence should be addressed to Srdjan Stankovic srdjan@ Received 14 February 2010 Accepted 7 June 2010 Academic Editor Sridhar Krishnan Copyright 2010 Srdjan Stankovic. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. A review of time-frequency analysis and some aspects of its applications in digital watermarking are presented. The main advantages and drawbacks of various time-frequency distributions are first discussed. The aim of this theoretical overview is to facilitate an appropriate distribution selection in a specific application. Different aspects of the time-frequency analysis when applied to digital watermarking are then presented. In particular the method that maps time-frequency characteristics of a host signal to the pseudo noise watermark sequence is thoroughly discussed. This approach is presented in the multidimensional form and then applied to digital audio digital image and digital video watermarking. Finally the theoretical considerations are illustrated by various numerical and real-life examples. 1. Introduction Theoretical aspects of time-frequency analysis have been intensively studied over the last two decades 1-27 . In parallel their various applications have been exploited as well. Namely for an efficient analysis of nonstationary signals such are radar sonar biomedical seismic and multimedia signals time-frequency representations are required. Timefrequency distributions are most commonly used for this purpose. Many of the researchers have made

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