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- W3105207788 abstract "Following the principle of “Just decode like encode,” we address using two-dimensional Ising model to represent signal complexity. Under choosing an apt phase transition temperature for Li chaos equation, we first distinguish the periodicity versus chaotic states in weak chaos equation, then do three classifications on the state of periodicity, chaos, or random in Lorenz and Chua equations and in Python random instructions. The results show that the classic phase diagrams are distinguishable, and the new measure coined average energy ratio of initial input energy to average output energy to be more than 70% of the correct recognition rate. The Curie temperature features in the new measure. This case study on signal complexity measure may add fresh leaves for chaos criteria tree." @default.
- W3105207788 created "2020-11-23" @default.
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- W3105207788 date "2020-11-18" @default.
- W3105207788 modified "2023-10-16" @default.
- W3105207788 title "Signal Complexity Measures Based on Ising Model" @default.
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- W3105207788 doi "https://doi.org/10.1007/978-981-15-5887-0_39" @default.
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