Results 41 to 50 of about 2,665,090 (225)

FPGA and ASIC realisation of EMD algorithm for real‐time signal processing [PDF]

IET Circuits, Devices & Systems, 2020
In this study, the authors have proposed both field‐programmable gate array (FPGA) and application specific integrated circuit (ASIC) based realisation of the empirical mode decomposition (EMD) algorithm for the real‐time signal processing.
Kaushik Das, Debanjali Nath, Sambhu Nath Pradhan   +2 more
openaire   +2 more sources

EMD algorithm

, 2016
EMD ...
Yu Xiang (261980), Lihua He (145436), William Moran (3390929), Wenyong Wang (396366), Xuezhi Wang (286081)   +4 more
core   +1 more source

Structural health monitoring of beams with moving oscillator: theory and laboratory

Građevinar, 2021
In this paper, a new intelligent portable mechanical system is introduced experimentally and theoretically to detect damage employing the fuzzy-genetic algorithm and EMD.
Reza Goldaran, Mehdi Kouhdaragh
doaj   +1 more source

Using an Optimization Algorithm to Detect Hidden Waveforms of Signals

Sensors, 2021
Source signals often contain various hidden waveforms, which further provide precious information. Therefore, detecting and capturing these waveforms is very important.
Yen-Ching Chang, Chin-Chen Chang
doaj   +1 more source

Scattered light noise characterisation at the Virgo interferometer with tvf-EMD adaptive algorithm

, 2020
International audienceA methodology of adaptive time series analysis, based on empirical mode decomposition (EMD) and on its time varying version tvf-EMD, has been applied to strain data from the gravitational wave interferometer (IFO) Virgo in order to ...
Plastino, Wolfango, Swinkels, Bas, Chiummo, Antonino, Bianchi, Stefano, Fiori, Irene, Was, Michal, Longo, Alessandro, Arnaud, Nicolas   +7 more
core   +1 more source

Deep Neural Network-Based Empirical Mode Decomposition for Motor Imagery EEG Classification

IEEE Transactions on Neural Systems and Rehabilitation Engineering
Motor imagery refers to the brain’s response during the mental simulation of physical activities, which can be detected through electroencephalogram (EEG) signals.
Hyunsoo Yu, Suwhan Baek, Jiwoon Lee, Illsoo Sohn, Bosun Hwang, Cheolsoo Park   +5 more
doaj   +1 more source

EMD-LSTM.

, 2019
EMD-LSTM.
Quanchao Chen (7372619), Di Wen (313779), Peng Gao (35465), Jie Zhang (64655), Hongxia Lv (7372628), Dingjun Chen (7372625), Xuqiang Li (7372622)   +6 more
core   +1 more source

Gyroscope Denoising Algorithm Based on EMD-SSA-VMD Double-Layer Decomposition. [PDF]

Sensors (Basel)
To reduce random errors effectively and improve measurement precision in MEMS gyroscopes, we establish a dual-layer noise suppression method named EMD-SSA-VMD.
Lv C, Zhao Y, Li F, Luo H.
europepmc   +2 more sources

CSF Cytokine Network Organization Predicts Progression Independent of Relapse and MRI Activity in Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Progression independent of relapse activity is a major determinant of long‐term disability in multiple sclerosis, but its immunopathologic basis remains incompletely understood. We investigated whether relapse‐independent progression in radiologically stable relapsing–remitting multiple sclerosis is associated with distinct ...
Antonio Bruno, Matteo Conti, Ettore Dolcetti, Federica Azzolini, Angela Borrelli, Roberta Fantozzi, Mario Stampanoni Bassi, Giovanni Galifi, Giuseppe Maccarrone, Luca Montaguti, Marco Cervigni, Maddalena Dal Pozzo, Roberto Furlan, Annamaria Finardi, Girolama Alessandra Marfia, Marco Salvetti, Antonella Conte, Fabio Buttari, Diego Centonze, Luana Gilio   +19 more
wiley   +1 more source

Improved empirical mode decomposition bagging RCSP combined with Fisher discriminant method for EEG feature extraction and classification

Heliyon
Background: Traditional Common Spatial Pattern (CSP) algorithms for Electroencephalogram (EEG) signal classification are sensitive to noise and can produce low accuracy in small sample datasets.
Dongyi Chen
doaj   +1 more source