Abstract
Considering the highly complex structure of quantum chaos and the nonstationary characteristics of speech signals, this paper proposes a quantum chaotic encryption and quantum particle swarm extraction method based on an underdetermined model. The proposed method first uses quantum chaos to encrypt the speech signal and then uses the local mean decomposition (LMD) method to construct a virtual receiving array and convert the underdetermined model to a positive definite model. Finally, the signal is extracted using the Levi flight strategy based on kurtosis and the quantum particle swarm optimization optimized by the greedy algorithm (KLG-QPSO). The bit error rate and similarity coefficient of the voice signal are extracted by testing the source voice signal SA1, SA2, and SI943 under different SNR, and the similarity coefficient, uncertainty, and disorder of the observed signal and the source voice signal SA1, SA2, and SI943 verify the effectiveness of the proposed speech signal extraction method and the security of quantum chaos used in speech signal encryption.
Highlights
With the widespread popularity of multimedia services, speech as a real-time business form is still one of the main ways for people to communicate
A xM (t) sN–1(t) sN (t) s′N (t) the slow evolution or even premature convergence of the population. is paper proposes a new positive definite blind source separation algorithm, which is a quantum particle swarm optimization algorithm based on the Levy flight strategy greedy algorithm of kurtosis (KLG-QPSO)
Speech signal encryption technology has been widely used in enterprises and military fields
Summary
With the widespread popularity of multimedia services, speech as a real-time business form is still one of the main ways for people to communicate. E quantum chaos for concealed transmission is proposed, which selects the system parameter values with highly complex structure and high security through the analysis of its chaotic characteristics, laying the foundation for designing a speech signal encryption algorithm with a better security level. Ere are two main methods for extracting speech signal s from a chaotic background: the method based on phase space reconstruction and the method based on geometric features of singular attractors Both methods are based on a positive definite mixed model; that is, the number of receiving array elements is equal to the number of transmitting array elements. In this paper, when L K 10, the quantum chaos generated by the Harper model is used to mask the encrypted transmission of the three speech source signals
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