Research Article
The Digital Chaos Cover Transport and Blind Extraction of Speech Signal
@INPROCEEDINGS{10.1007/978-3-319-73447-7_66, author={Xinwu Chen and Yaqin Xie and Erfu Wang}, title={The Digital Chaos Cover Transport and Blind Extraction of Speech Signal}, proceedings={Machine Learning and Intelligent Communications. Second International Conference, MLICOM 2017, Weihai, China, August 5-6, 2017, Proceedings, Part II}, proceedings_a={MLICOM}, year={2018}, month={2}, keywords={Henon chaotic Speech signal Wavelet transform Blind extraction Masking}, doi={10.1007/978-3-319-73447-7_66} }- Xinwu Chen
Yaqin Xie
Erfu Wang
Year: 2018
The Digital Chaos Cover Transport and Blind Extraction of Speech Signal
MLICOM
Springer
DOI: 10.1007/978-3-319-73447-7_66
Abstract
With its nonsense, non-detection and robustness, chaotic security technology is more widely used than cryptography in the field of secure communication. In this paper, under the background of digital era, wavelet transform is used to analyze the time-frequency energy concentration of Henon chaotic signal and speech signal, and with the Henon chaotic signal as carrier, the speech signal is hidden, which has important theoretical and practical significance to improve the self-security of the chaotic secure communication system. The speech signal, which chaos is hidden, is transmitted confidentially and it is effectively made to extract blindly at the receiving end. Then similarity coefficient is compared and analyzed under different SNR, which to verify the validity of the algorithm.
