Detection and classification of GNSS jammers using convolutional neural networks
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 …
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
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 …
brain computer interface (BCI) systems based on time-frequency (TF) features of EEG …
High order spectral analysis of ferroresonance phenomena in electric power systems
This study presents a comprehensive investigation of ferroresonance, a dangerous electrical
phenomenon that poses significant financial risks. Using real electrical transmission line …
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 …
discrete analytic signal. This is because the discrete analytic signal must satisfy two mutually …
Accurate and efficient implementation of the time–frequency matched filter
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 …
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
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 …
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 …
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 …
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 …
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 …
причиной смертности по всему миру. Для того, чтобы уменьшить смертность и …