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Published in 2023 at "Chaos"
DOI: 10.1063/5.0141099
Abstract: Multiscale entropy (MSE) has been widely used to examine nonlinear systems involving multiple time scales, such as biological and economic systems. Conversely, Allan variance has been used to evaluate the stability of oscillators, such as…
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Keywords:
statistical measures;
allan variance;
variance;
information theoretical ... See more keywords
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Published in 2019 at "Physical review letters"
DOI: 10.1103/physrevlett.123.110603
Abstract: We establish that entropy production, which is crucial to the characterization of thermodynamic irreversibility, is obtained through a variational principle involving the Kulback-Leibler divergence. A simple application of this representation leads to an information-theoretical bound…
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Keywords:
relaxation;
theoretical bound;
information theoretical;
relaxation processes ... See more keywords
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Published in 2017 at "Optics Express"
DOI: 10.1364/oe.25.029043
Abstract: Optical lithography is extensively used in micro and nano scale semiconductor fabrication. However, the information transmission mechanism in lithography systems is not yet completely understood. This paper studies and analyzes the lithography imaging process from…
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Keywords:
lithography systems;
information;
optical lithography;
information theoretical ... See more keywords
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Published in 2018 at "Optics express"
DOI: 10.1364/oe.26.016736
Abstract: Computational lithography is nowadays playing an indispensible role in improving the imaging performance of optical lithography systems. This paper develops a new and powerful approach to computational lithography by introducing an information theoretical channel modeling…
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Keywords:
lithography systems;
information;
theoretical approaches;
information theoretical ... See more keywords
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Published in 2018 at "Frontiers in Neuroinformatics"
DOI: 10.3389/fninf.2018.00030
Abstract: We present an open-source Python package to compute information-theoretical quantities for electroencephalographic data. Electroencephalography (EEG) measures the electrical potential generated by the cerebral cortex and the set of spatial patterns projected by the brain's electrical…
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Keywords:
information;
information theoretical;
time;
microstate sequences ... See more keywords
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Published in 2022 at "Entropy"
DOI: 10.3390/e24010067
Abstract: Deep learning has proven to be an important element of modern data processing technology, which has found its application in many areas such as multimodal sensor data processing and understanding, data generation and anomaly detection.…
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Keywords:
theoretical measures;
convolutional layers;
information;
information theoretical ... See more keywords