Deepdemod: Bpsk demodulation using deep learning over software-defined radio

A Ahmad, S Agarwal, S Darshi, S Chakravarty - IEEE Access, 2022 - ieeexplore.ieee.org
In wireless communication, signal demodulation under non-ideal conditions is one of the
important research topic. In this paper, a novel non-coherent binary phase shift keying …

Enhancing EEG signal analysis with geometry invariants for multichannel fusion

D Cimr, H Fujita, D Busovsky, R Cimler - Information Fusion, 2024 - Elsevier
Automated computer-aided diagnosis (CAD) has become an essential approach in the early
detection of health issues. One of the significant benefits of this approach is high accuracy …

Developing a deep canonical correlation-based technique for seizure prediction

S Vieluf, T Hasija, M Kuschel, C Reinsberger… - Expert Systems with …, 2023 - Elsevier
Proof-of-principle studies suggest that seizure prediction from non-invasive device
recordings may be feasible. However, the discovery of optimal biomarkers is an ongoing …

Combining embeddings and fuzzy time series for high-dimensional time series forecasting in internet of energy applications

HV Bitencourt, LAF de Souza, MC dos Santos, R Silva… - Energy, 2023 - Elsevier
High-dimensional time series increasingly arise in the Internet of Energy (IoE), given the use
of multi-sensor environments and the two way communication between energy consumers …

Deployment of Artificial Intelligence Models on Edge Devices: A Tutorial Brief

M Żyliński, A Nassibi, I Rakhmatulin… - … on Circuits and …, 2023 - ieeexplore.ieee.org
Artificial intelligence (AI) on an edge device has enormous potential, including advanced
signal filtering, event detection, optimization in communications and data compression …

Learning-based secret key generation in relay channels under adversarial attacks

M Letafati, H Behroozi, BH Khalaj… - IEEE Open Journal of …, 2023 - ieeexplore.ieee.org
Wireless secret key generation (WSKG) facilitates efficient key agreement protocols for
securing the sixth generation (6G) wireless networks thanks to its inherently lightweight …

Reconfigurable intelligent surface-aided orthogonal time frequency space and its deep learning-based signal detection

MH Abid, IA Talin, MI Kadir - IEEE Access, 2023 - ieeexplore.ieee.org
Orthogonal time frequency space (OTFS) has emerged as a promising modulation for next-
generation wireless systems. This two-dimensional (2D) modulation has the inherent …

Soft-Output Deep LAS Detection for Coded MIMO Systems: A Learning-Aided LLR Approximation

A Ullah, W Choi, TM Berhane… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The multiple-input-multiple-output-orthogonal frequency division multiplexing (MIMO-OFDM)
receiver aims to softly decode the transmitted information from the observed received signal …

Countering Eavesdroppers with Meta-learning-based Cooperative Ambient Backscatter Communications

NH Chu, N Van Huynh, DN Nguyen… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
This article introduces a novel lightweight framework using ambient backscattering
communications to counter eavesdroppers. In particular, our framework divides an original …

A Survey on Low-Latency DNN-Based Speech Enhancement

S Drgas - Sensors, 2023 - mdpi.com
This paper presents recent advances in low-latency, single-channel, deep neural network-
based speech enhancement systems. The sources of latency and their acceptable values in …