scholarly journals Robust adaptive steganography based on dither modulation and modifcation with re-compression

2021 ◽  
pp. 1-1
Author(s):  
Zhaoxia Yin ◽  
Longfei Ke
Keyword(s):  
Adaptive Steganography ◽  
Dither Modulation ◽  
Robust Adaptive

Robust adaptive steganography based on generalized dither modulation and expanded embedding domain

2020 ◽  
Vol 168 ◽  
pp. 107343 ◽  
Author(s):  
Xinzhi Yu ◽  
Kejiang Chen ◽  
Yaofei Wang ◽  
Weixiang Li ◽  
Weiming Zhang ◽  
...  
Keyword(s):  
Adaptive Steganography ◽  
Dither Modulation ◽  
Robust Adaptive

Image robust adaptive steganography adapted to lossy channels in open social networks

2021 ◽  
Vol 564 ◽  
pp. 306-326
Author(s):  
Yi Zhang ◽  
Xiangyang Luo ◽  
Jinwei Wang ◽  
Yanqing Guo ◽  
Fenlin Liu
Keyword(s):  
Social Networks ◽  
Adaptive Steganography ◽  
Robust Adaptive

scholarly journals Enhancing reliability and efficiency for real-time robust adaptive steganography using cyclic redundancy check codes

2019 ◽  
Vol 17 (1) ◽  
pp. 115-123 ◽  
Author(s):  
Yi Zhang ◽  
Xiangyang Luo ◽  
Xiaodong Zhu ◽  
Zhenyu Li ◽  
Adrian G. Bors
Keyword(s):  
Real Time ◽  
Adaptive Steganography ◽  
Cyclic Redundancy Check ◽  
Robust Adaptive

Dither modulation based adaptive steganography resisting jpeg compression and statistic detection

2017 ◽  
Vol 77 (14) ◽  
pp. 17913-17935 ◽  
Author(s):  
Yi Zhang ◽  
Xiaodong Zhu ◽  
Chuan Qin ◽  
Chunfang Yang ◽  
Xiangyang Luo
Keyword(s):  
Jpeg Compression ◽  
Adaptive Steganography ◽  
Dither Modulation

Fuzzy adaptive Kalman filter for the drive system with an elastic coupling

2013 ◽  
Vol 62 (2) ◽  
pp. 251-265 ◽  
Author(s):  
Piotr J. Serkies ◽  
Krzysztof Szabat
Keyword(s):  
Kalman Filter ◽  
Control Structure ◽  
Experimental Tests ◽  
Drive System ◽  
Adaptive Kalman Filter ◽  
State Matrix ◽  
State Controller ◽  
Kalman Gain ◽  
Robust Adaptive ◽  
Fuzzy Adaptive

Abstract In the paper issues related to the design of a robust adaptive fuzzy estimator for a drive system with a flexible joint is presented. The proposed estimator ensures variable Kalman gain (based on the Mahalanobis distance) as well as the estimation of the system parameters (based on the fuzzy system). The obtained value of the time constant of the load machine is used to change the values in the system state matrix and to retune the parameters of the state controller. The proposed control structure (fuzzy Kalman filter and adaptive state controller) is investigated in simulation and experimental tests.

A Subspace-based Robust Adaptive Capon Beamforming

PIERS Online ◽  
2006 ◽  
Vol 2 (4) ◽  
pp. 374-379 ◽  
Author(s):  
Guisheng Liao ◽  
Hongqing Liu ◽  
Jun Li
Keyword(s):  
Robust Adaptive
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