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Found 5 papers, 1 papers with code
A BFF-Based Attention Mechanism for Trajectory Estimation in mmWave MIMO Communications
This TN-based approach estimates wireless device trajectories using BFF sequences recorded within a mmWave MIMO outdoor system.
Energy-Efficient D2D-Aided Fog Computing under Probabilistic Time Constraints
In this paper, we address the problem of resource allocation with respect to task partitioning, computation resources and transmit power in a D2D-aided fog computing scenario, aiming to minimize the expected total energy consumption under probabilistic constraints on the processing time.
Light-SERNet: A lightweight fully convolutional neural network for speech emotion recognition
The extracted features are used to classify the emotion of the input speech segment.
Deep Learning Framework for Hybrid Analog-Digital Signal Processing in mmWave Massive-MIMO Systems
This structure is then embedded into an extended hybrid analog-digital deep neural network (HDNN) architecture which facilitates the implementation of mmWave massive-MIMO systems while improving their performance.
On the Use of Audio Fingerprinting Features for Speech Enhancement with Generative Adversarial Network
The advent of learning-based methods in speech enhancement has revived the need for robust and reliable training features that can compactly represent speech signals while preserving their vital information.
