Open AccessSignal extraction based on chaos masking
Author(s) -
Chao Li,
Jia Yu,
Shiyu Guo,
Mengna Shi,
Erfu Wang
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1486/4/042047
Subject(s) - chaotic , computer science , masking (illustration) , signal (programming language) , algorithm , entropy (arrow of time) , encryption , speech recognition , pattern recognition (psychology) , artificial intelligence , art , physics , quantum mechanics , visual arts , programming language , operating system
As chaotic masking signal refers to a seemingly random and irregular signal occurring in a deterministic system, it is highly confidential to load the signal needed to be transmitted into chaotic masking signal as a carrier signal for transmission.In this paper, an improved information encryption based on lorenz chaotic masking system and speech signal extraction based on joint diagonalization blind extraction algorithm are designed.The performance comparison between the proposed algorithm and FastICA blind extraction algorithm based on negative entropy maximization is analyzed quantitatively and qualitatively in the simulation experiment. The effectiveness of information encryption under chaos masking and the reliability of the algorithm based on joint diagonalization blind extraction are verified.