FILTERING DRA ARRAY AND ITS APPLICATIONS IN MIMO FOR SUB-6 GHZ BAND


Emotion Recognition From Multi-Channel EEG Signals by Exploiting the Deep Belief-Conditional Random Field Framework

Recently, much attention has been attracted to automatic emotion recognition based on multi-channel electroencephalogram (EEG) signals, with the rapid development of machine learning methods.However, traditional methods ignore the correlation information between different channels, and cannot fully capture the long-term dependencies and contextual

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Sensitivity Analysis of the Data Assimilation-Driven Decomposition in Space and Time to Solve PDE-Constrained Optimization Problems

This paper is presented in the context of sensitivity analysis (SA) of large-scale data assimilation (DA) models.We studied consistency, convergence, stability and roundoff error propagation of the reduced-space optimization technique arising in parallel 4D Variational DA problems.The results are helpful to understand the reliability of DA, Food Se

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