郭艳卿

(教授)

 博士生导师  硕士生导师
学位:博士
性别:男
毕业院校:大连理工大学
所在单位:未来技术学院/人工智能学院
电子邮箱:guoyq@dlut.edu.cn

论文成果

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Amplitude-adaptive spread-spectrum data embedding

发表时间:2019-03-11 点击次数:

论文名称:Amplitude-adaptive spread-spectrum data embedding
论文类型:期刊论文
发表刊物:IET IMAGE PROCESSING
收录刊物:SCIE、EI、Scopus
卷号:10
期号:2
页面范围:138-148
ISSN号:1751-9659
关键字:spread spectrum communication; error statistics; data handling; additive spread-spectrum data embedding; transform-domain host data; equal-amplitude modulated carrier; symbol bits; error probability; amplitude-adaptive SS embedding scheme; symbol-by-symbol adaptive amplitude allocation algorithms; amplitude optimisation; bit-error-rate; receiver BER; multicarrier embedding; multimessage embedding
摘要:In this study, the authors consider additive spread-spectrum (SS) data embedding in transform-domain host data. Conventional additive SS embedding schemes use an equal-amplitude modulated carrier to deposit one information symbol across a group of host data coefficients which act as interference to SS signal of interest. If there is a flexibility of assigning different amplitudes across symbol bits, the probability of error can be further reduced by adaptively allocating amplitude to each symbol bit based on its own host/interference. In this study, they present a novel amplitude-adaptive SS embedding scheme. Particularly, symbol-by-symbol adaptive amplitude allocation algorithms are developed to compensate for the impact from the known interference. They aim at designing the SS embedding amplitude for each symbol adaptively in order to minimise the receiver bit-error-rate (BER) at any given distortion level. Then, optimised amplitude allocation for multi-carrier/multi-message embedding in the same host data is studied as well. Finally, they consider the problem of amplitude optimisation for an ideal scenario where no external noise is introduced during embedding and transmission. Extensive experimental results illustrate that the proposed amplitude-adaptive SS embedding scheme can provide order-of-magnitude performance improvement over several other state-of-the-art SS embedding schemes.
发表时间:2016-02-01