Signal extraction based on chaos masking

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.