Field programmable gate array applications—A scientometric review

J Ruiz-Rosero, G Ramirez-Gonzalez, R Khanna - Computation, 2019 - mdpi.com
Field Programmable Gate Array (FPGA) is a general purpose programmable logic device
that can be configured by a customer after manufacturing to perform from a simple logic gate …

Successive variational mode decomposition

M Nazari, SM Sakhaei - Signal Processing, 2020 - Elsevier
Variational mode decomposition (VMD) is a powerful technique for concurrently
decomposing a signal into its constituent intrinsic modes. However, the performance of VMD …

Recursive sliding DFT algorithms: A review

A Chauhan, KM Singh - Digital Signal Processing, 2022 - Elsevier
This paper reviews different recursive structures of Sliding Discrete Fourier Transform
(SDFT) algorithms. Normally, a SDFT algorithm is introduced to design a filter or to compute …

An efficient removal of power-line interference and baseline wander from ECG signals by employing Fourier decomposition technique

A Singhal, P Singh, B Fatimah, RB Pachori - Biomedical Signal Processing …, 2020 - Elsevier
Baseline wander (BW) and power-line interference (PLI) tend to occur in every recorded
electrocardiogram (ECG) signal and can significantly deteriorate the quality of the signal …

Variational mode extraction: A new efficient method to derive respiratory signals from ECG

M Nazari, SM Sakhaei - IEEE journal of biomedical and health …, 2017 - ieeexplore.ieee.org
ECG-derived respiratory (EDR) signal is an effective and inexpensive method to monitor the
respiration. Previous studies have shown that the empirical mode decomposition (EMD) …

A deep learning-based framework For ECG signal denoising based on stacked cardiac cycle tensor

A Rasti-Meymandi, A Ghaffari - Biomedical Signal Processing and Control, 2022 - Elsevier
The Electrocardiogram (ECG) signal is one of the frequently used non-invasive
physiological measurement techniques for heart diagnosis. However, ECG signal is often …

Benchmarking of phase locked loop based synchronization techniques for grid-connected inverter systems

Y Yang, L Hadjidemetriou, F Blaabjerg… - 2015 9th international …, 2015 - ieeexplore.ieee.org
Grid-connected renewables are increasingly developed in recent years, eg wind turbine
systems and photovoltaic systems. Synchronization of the injected current with the grid is …

An end-to-end 12-leading electrocardiogram diagnosis system based on deformable convolutional neural network with good antinoise ability

L Qin, Y **e, X Liu, X Yuan… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Electrocardiogram (ECG) is a tool to help judge heart activity. In recent years, the
convolutional neural network (CNN) and various deep learning algorithms have been widely …

Three-phase amplitude adaptive notch filter control design of DSTATCOM under unbalanced/distorted utility voltage conditions

A Rohani, M Joorabian, M Abasi… - Journal of Intelligent & …, 2019 - content.iospress.com
This paper deals with a control design based on amplitude adaptive notch filter (AANF) for a
four-leg distributed static compensator (DSTATCOM) in a three-phase four-wire distribution …

Improved noise cancelling algorithm for electrocardiogram based on moving average adaptive filter

AK Tanji Jr, MAG de Brito, MG Alves, RC Garcia… - Electronics, 2021 - mdpi.com
The electrocardiogram (ECG) is basic equipment used in the diagnosis of cardiac illness.
However, in non-developed countries, most of the population does not have access to …