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Recovering hidden information in audio by genetic algorithm 被引量:1

Recovering hidden information in audio by genetic algorithm
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摘要 An audio recovering method of spread-spectrum hidden information is proposed based on genetic algorithm.In this method the embedded sequence length is confirmed firstly,then the best estimated sequence with the confirmed length is got by genetic algorithm,finally the confidential message hidden in stego-audio can be recovered.Using this approach,the hidden information can be recovered without any information from the transmitter.The presented method has been implemented on PC,and the experimental results show that the average recovering correct rate is higher than 90%. An audio recovering method of spread-spectrum hidden information is proposed based on genetic algorithm. In this method the embedded sequence length is confh'med firstly, then the best estimated sequence with the confa'med length is got by genetic algorithm, finally the confidential message hidden in stego-andio can be recovered. Using this approach, the hidden information can be recovered without any information fi'om the transmitter. The presented method has been implemented on PC, and the experimental results show that the average recovering correct rate is higher than 90%.
出处 《Optoelectronics Letters》 EI 2009年第4期313-316,共4页 光电子快报(英文版)
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  • 1高鹰,谢胜利.一种线性混合信号盲提取算法[J].电子与信息学报,2006,28(6):999-1003. 被引量:12
  • 2Persia L D, Milone D, Rufiner H L, et al. Perceptual evaluation of blind source separation for robust speech recognition[J]. Signal Processing, 2008,88(10) : 2578-2583.
  • 3Hallez H, Vos M D, Vanrumste B, et al. Removing muscle and eye artifacts using blind source separation techniques in ictal EEG source imaging [J]. Clinical Neurophysiology, 2009,120 (7) :1262-1272.
  • 4PENG De-zhong, XIANG Yong. Underdetermined blind separa- tion of non-sparse sources using spatial time-frequency distri- butions[J]. Digital Signal Processing,2010,20(2) : 581-596.
  • 5Upendar J,Gupta C P,Singh G K. Design of two-channel quad- rature mirror filter bank using particle swarm optimization[J]. Digital Signal Processing, 2010,20(2) : 304-313.
  • 6Muller S D,Marchetto J,Airaghi S,et al. Optimization based on bacterial chemotaxis[J]. IEEE Trans on Evolutionary Computa- tion,2002,6( 1 ) : 16-29.
  • 7Delfosse N,Loubaton P. Adaptive blind separation of independ- ent source:a deflation approach [J]. Signal Processing, 1995, 45(1) :59-83.
  • 8Cichocki A, Thawonmas R, Amari S. Sequential blind signal ex- traction in order specified by stochastic properties[J]. Elec- tronics Letters, 1997,33(1), 64-65.
  • 9Hyvarinen A,Oja E A fast fixed-point algorithm for independ- ent component analysis[J] Neural Computation, 1997,9 (7) : 1483-1492.
  • 10郑煜,陈庄庄,李雅娟,段吉安.A new automatic alignment technology for single mode fiber-waveguide based on improved genetic algorithm[J].Optoelectronics Letters,2009,5(3):165-168. 被引量:2

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