no code implementations • 23 Jan 2024 • Mohammad Shamsesalehi, Mahmoud Ahmadian Attari, Mohammad Amin Maleki Sadr, Benoit Champagne, Marwa Qaraqe
This TN-based approach estimates wireless device trajectories using BFF sequences recorded within a mmWave MIMO outdoor system.
no code implementations • 7 Jan 2022 • Onur Karatalay, Ioannis Psaromiligkos, Benoit Champagne
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.
1 code implementation • 7 Oct 2021 • Arya Aftab, Alireza Morsali, Shahrokh Ghaemmaghami, Benoit Champagne
The extracted features are used to classify the emotion of the input speech segment.
no code implementations • 30 Jul 2021 • Alireza Morsali, Afshin Haghighat, Benoit Champagne
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.
no code implementations • 27 Jul 2020 • Farnood Faraji, Yazid Attabi, Benoit Champagne, Wei-Ping Zhu
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.