Detection and classification of GNSS jammers using convolutional neural networks

IE Mehr, F Dovis - … Conference on Localization and GNSS (ICL …, 2022 - ieeexplore.ieee.org
Global Navigation Satellite Systems (GNSSs) have been established as one of the most
significant infrastructures in today's world and play an important role in many critical …

An interpretable convolutional neural network for P300 detection: Analysis of time frequency features for limited data

M Tajmirriahi, Z Amini, H Rabbani… - IEEE Sensors …, 2022 - ieeexplore.ieee.org
In this study, a new deep learning-based methodology is developed for P300 detection in
brain computer interface (BCI) systems based on time-frequency (TF) features of EEG …

High order spectral analysis of ferroresonance phenomena in electric power systems

TC Akinci, O Akgun, M Yilmaz… - IEEE Access, 2023 - ieeexplore.ieee.org
This study presents a comprehensive investigation of ferroresonance, a dangerous electrical
phenomenon that poses significant financial risks. Using real electrical transmission line …

A new discrete analytic signal for reducing aliasing in the discrete Wigner-Ville distribution

JM O'Toole, M Mesbah… - IEEE Transactions on …, 2008 - ieeexplore.ieee.org
It is not possible to generate an alias-free discrete Wigner-Ville distribution (DWVD) from a
discrete analytic signal. This is because the discrete analytic signal must satisfy two mutually …

Accurate and efficient implementation of the time–frequency matched filter

JM O'Toole, M Mesbah, B Boashash - IET Signal Processing, 2010 - IET
The discrete time–frequency matched filter should replicate the continuous time–frequency
matched filter, but the methods differ. To avoid aliasing, the discrete method transforms the …

A robust algorithm for segmentation of phonocardiography signal using tunable quality wavelet transform

PK Jain, AK Tiwari - Journal of Medical and Biological Engineering, 2018 - Springer
Segmentation of the phonocardiography (PCG) signal is of importance for diagnosis of heart
health and the same is recently reported to be done with tunable quality Wavelet transform …

[PDF][PDF] Discrete quadratic time-frequency distributions: definition, computation, and a newborn electroencephalogram application

J O'Toole - 2009 - researchgate.net
Most signal processing methods were developed for continuous signals. Digital devices,
such as the computer, process only discrete signals. This dissertation proposes new …

[HTML][HTML] Discrete time-frequency signal analysis and processing techniques for non-stationary signals

S Sivakumar, D Nedumaran - Journal of Applied Mathematics and Physics, 2018 - scirp.org
This paper presents the methodology, properties and processing of the time-frequency
techniques for non-stationary signals, which are frequently used in biomedical …

Improved discrete definition of quadratic time-frequency distributions

JM O'Toole, M Mesbah… - IEEE Transactions on …, 2009 - ieeexplore.ieee.org
Computation of a time-frequency distribution (TFD) requires a discrete version of the
continuous distribution. This discrete TFD (DTFD) should be free from aliasing and conserve …

Применение нейросетей и алгоритмов машинного обучения с целью диагностики сердечно-сосудистых заболеваний на основе сигналов СКГ

НС Коннова, ВЮ Хаперская - Биомедицинская радиоэлектроника, 2020 - elibrary.ru
Постановка проблемы. Заболевания сердечно-сосудистой системы являются основной
причиной смертности по всему миру. Для того, чтобы уменьшить смертность и …