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An experimental study of neural estimators of the mutual information between random vectors modeling power spectrum features

Shin, Donghoon ; Kim, Hyung Soon

EURASIP journal on advances in signal processing, 2024-12, Vol.2024 (1), p.2-14, Article 2 [Periódico revisado por pares]

Cham: Springer International Publishing

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Título:
An experimental study of neural estimators of the mutual information between random vectors modeling power spectrum features
Autor: Shin, Donghoon ; Kim, Hyung Soon
Assuntos: Comparative analysis ; Data analysis ; Data processing ; Datasets ; Empirical analysis ; Engineering ; Entropy ; Estimation ; Estimators ; Inequality ; Information management ; Information theory ; Machine learning ; Mutual information ; Neural network ; Neural networks ; Performance evaluation ; Power spectrum ; Quantum Information Technology ; Random variables ; Signal processing ; Signal,Image and Speech Processing ; Spintronics
É parte de: EURASIP journal on advances in signal processing, 2024-12, Vol.2024 (1), p.2-14, Article 2
Descrição: Mutual information (MI) quantifies the statistical dependency between a pair of random variables and plays a central role in signal processing and data analysis. Recent advances in machine learning have enabled the estimation of MI from a dataset using the expressive power of neural networks. In this study, we conducted a comparative experimental analysis of several existing neural estimators of MI between random vectors that model power spectrum features. We explored alternative models of power spectrum features by leveraging information-theoretic data processing inequality and bijective transformations. Empirical results demonstrated that each neural estimator of MI covered in this study has its limitations. In practical applications, we recommend the collective use of existing neural estimators in a complementary manner for the problem of estimating MI between power spectrum features.
Editor: Cham: Springer International Publishing
Idioma: Inglês

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An experimental study of neural estimators of the mutual information between random vectors modeling power spectrum features

Shin, Donghoon ; Kim, Hyung Soon

Cham: Springer International Publishing

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