语音信号的混沌遮掩及其正定盲提取算法

doi:10.11959/j.issn.1000-436x.2016171

Abstract

Abstract:

The wavelet transform was used to extract energy accumulation zone of speech signal hidden in the chaotic carrier signal for transmission,and a blind extraction algorithm was designed to achieve speech signal extraction under different chaotic dynamical systems.Using three different dimensions of the chaotic dynamic system as the background,simulation experiment analysed the performance of the proposed algorithm in aqualitative and quantitative ways,and verified the algorithm's reliability under the noise environment that prove the blind extraction algorithm can be used as an effective method of security verification of chaotic secure communication system.

Key words: wavelet transform, speech signal, FastICA algorithm, chaotic system

Er-fu WANG,Yuan-shuo ZHENG,Xin-wu CHEN,Xiao-zhen LIU. Chaotic hiding and its positive definite blind extraction algorithm of speech signal[J]. Journal on Communications, 2016, 37(8): 191-198.

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References 13

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信噪比/dB	语音SA₁	语音SA₂	Henon混沌系统
29	0.910 1	0.897 0	0.997 7
30	0.927 1	0.916 1	0.998 3
31	0.935 8	0.932 1	0.998 4
32	0.948 4	0.944 1	0.998 8
33	0.959 8	0.954 4	0.999 2
34	0.966 3	0.963 6	0.999 1
35	0.973 8	0.970 5	0.999 3

信噪比/dB	语音SA₁	语音SA₂	Chen混沌系统
29	0.905 4	0.901 9	0.999 8
30	0.923 4	0.916 8	0.998 3
31	0.935 8	0.931 2	0.998 5
32	0.948 1	0.946 6	0.999 8
33	0.957 3	0.955 0	0.999 9
34	0.963 5	0.964 0	0.998 7
35	0.972 7	0.971 0	0.998 3

信噪比/dB	语音SA₁	语音SA₂	Qi混沌系统
29	0.894 3	0.893 0	0.998 8
30	0.909 4	0.919 3	0.999 5
31	0.926 6	0.930 2	0.999 6
32	0.938 9	0.943 8	0.999 8
33	0.953 1	0.951 4	0.999 2
34	0.959 4	0.962 0	0.998 1
35	0.969 0	0.969 9	0.999 4

混沌信号	时间/s
Henon	7.422
Chen	8.997
Qi	9.795

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Chaotic hiding and its positive definite blind extraction algorithm of speech signal

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