no code implementations • 19 Feb 2024 • Khaled Humadi, Imene Trigui, Wei-Ping Zhu, Wessam Ajib
Beam misalignment is one of the main challenges for the design of reliable wireless systems in terahertz (THz) bands.
no code implementations • 13 May 2023 • Md. Rabiul Islam, Daniel Massicotte, Philippe Y. Massicotte, Wei-Ping Zhu
The existing approaches employed very large and complex deep ConvNet or 2SRNN-based domain adaptation methods to approximate the distribution shift caused by these inter-session and inter-subject data variability.
no code implementations • 22 Jan 2022 • Imène Trigui, Damoon Shahbaztabar, Wessam Ajib, Wei-Ping Zhu
In this letter, we exploit the concept of copula modeling to capture the non-standard dependence features that appear due to the presence of discrete phase noise.
no code implementations • 13 May 2021 • Bai Zhao, Min Lin, Ming Cheng, Wei-Ping Zhu, Naofal Al-Dhahir
This paper proposes a robust beamforming scheme to enhance the physical layer security (PLS) of multicast transmission in a cognitive satellite and aerial network (CSAN) operating in the millimeter wave frequency band.
no code implementations • 18 Mar 2021 • Kai Wang, Bengbeng He, Wei-Ping Zhu
In this paper, we propose a transformer-based architecture, called two-stage transformer neural network (TSTNN) for end-to-end speech denoising in the time domain.
no code implementations • 8 Jan 2021 • Iméne Trigui, Edouard Komi Agbogla, Mustapha Benjillali, Wessam Ajib, Wei-Ping Zhu
In this paper, we analyze the error probability of reconfigurable intelligent surfaces (RIS)-enabled communication systems with quantized channel phase compensation over Rayleigh fading channels.
Quantization Information Theory Information Theory
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.
no code implementations • 8 Jun 2019 • Md. Rabiul Islam, Daniel Massicotte, Francois Nougarou, Philippe Massicotte, Wei-Ping Zhu
Without using any pre-trained models, our proposed S-ConvNet and All-ConvNet demonstrate very competitive recognition accuracy to the more complex state of the art for neuromuscular activity recognition based on instantaneous HD-sEMG images, while using a ~ 12 x smaller dataset and reducing learning parameters to a large extent.
no code implementations • 5 Dec 2017 • Xiaohuan Wu, Wei-Ping Zhu, Jun Yan
Most localization methods for mixed far-field (FF) and near-field (NF) sources are based on uniform linear array (ULA) rather than sparse linear array (SLA).
Super-Resolution Information Theory Signal Processing Information Theory