Signal Complexity Measures Based on Ising Model

机译：Signal Complexity Measures Based on Ising Model

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1 Introduction The signals from nature, human body, machine, instrument, and society can be complex, and the information embedded in them needs to be mined out. The key to feature decoding is to find the inverse transform of embedded information coding, that is, we should make decoding like encoding in their original forms [1-3].

机译：1 Introduction The signals from nature, human body, machine, instrument, and society can be complex, and the information embedded in them needs to be mined out. The key to feature decoding is to find the inverse transform of embedded information coding, that is, we should make decoding like encoding in their original forms [1-3].

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《International Conference on Intelligent Computing, Communication and Devices》|2021年|xviii 519 pages :|共6页
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Meng Zhang; Hao Wu; Jinwei Cai; Wenshi Li;
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中图分类 73.918083;
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Signal Complexity Measures; Ising Model; information coding;

机译：信号复杂度测度;伊辛模型;信息编码;

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3. Comparative Analysis of EEG Signals Based on Complexity Measure [J] . ZHU Jia-fu, HE Wei 中国生物医学工程学报：英文版 . 2009,第004期
4. Comparative Analysis of EEG Signals Based on Complexity Measure [J] . 无中国生物医学工程学报：英文版 . 2009,第004期
5. Comparative Analysis of EEG Signals Based on Complexity Measure [J] . ZHU Jia-fu, HE Wei 中国生物医学工程学报（英文版） . 2009,第004期
6. Sensor Modeling, Low-Complexity Fusion Algorithms, and Mixed-Signal IC Prototyping for Gas Measures in Low-Emission Vehicles [J] . Saponara S., Petri E., Fanucci L., Instrumentation and Measurement, IEEE Transactions on . 2011,第2期

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Signal Complexity Measures Based on Ising Model

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