Complex System-Based Audio Representation for Industrial Information Security
Xiu He, Zhanchuan Cai · IEEE Transactions on Industrial Informatics · 2024
Audio-visual products are an important carrier of ideological communication, which meets the diverse, multiaspect spiritual and cultural needs. However, although current audio representation methods have shown superior performance, they have some limitations and cannot fully take advantage of the diverse, multilevel characteristics of the audio-visual products. The article proposes a complex system-based audio representation method, which diverse audio signals are represented uniformly as Gaussian integers and marked into the same 2-D complex plane. Especially, the relationships of audio signals can be redefined based on the geometric properties. The experiments demonstrate that the proposed audio signal representation method is feasible and lossless. Furthermore, we explore potential industrial information security applications under the proposed representation method, and the applications verify that the representation method has the practical value.