Results 11 to 20 of about 2,852,859 (310)

Design and Implementation of Opportunity Signal Perception Unit Based on Time-Frequency Representation and Convolutional Neural Network

open access: yesSensors, 2021
The traditional signal of opportunity (SOP) positioning system is equipped with dedicated receivers for each type of signal to ensure continuous signal perception. However, it causes a low equipment resources utilization and energy waste. With increasing
Zhongliang Deng   +3 more
doaj   +1 more source

Mechanism of the strong earthquake triggered by high pressure fluid in reservoir: A case study of the 5.12 Wenchuan earthquake

open access: yesDizhi lixue xuebao, 2021
At present, the mechanism of earthquake is still based on elastic rebound theory—Earthquake is caused by the release of elastic energy of rock strata due to fault dislocation.
MAO Xiaoping   +6 more
doaj   +1 more source

ANALYSIS OF TEMPORAL AND FREQUENCY CHARACTERISTICS OF SIMULTANEOUS GEODEFORMATION SIGNALS REGISTERED AT “KARYMSHINA” SITE [PDF]

open access: yesVestnik KRAUNC: Fiziko-Matematičeskie Nauki, 2019
Simultaneous geodeformational observations have been carried out from 2016 to the present time at “Karymshina” site on Kamchatka. A laser deformograph-interferometer and a three-component seismoacoustic receiver were installed to conduct these ...
M. A. Mishchenko   +2 more
doaj   +1 more source

What Triggers the Interictal Epileptic Spike? A Multimodal Multiscale Analysis of the Dynamic of Synaptic and Non-synaptic Neuronal and Vascular Compartments Using Electrical and Optical Measurements

open access: yesFrontiers in Neurology, 2021
Interictal spikes (IISs) may result from a disturbance of the intimate functional balance between various neuronal (synaptic and non-synaptic), vascular, and metabolic compartments.
Cristian Arnal-Real   +4 more
doaj   +1 more source

Experimental Detection of Nonlinear Dynamics Using a Laser Profilometer

open access: yesApplied Sciences, 2023
This paper investigates a cantilever beam nonlinear dynamic behaviour, on which the nonlinearity is introduced with permanent magnet interactions or with a non-holonomic contact.
Elvio Bonisoli   +3 more
doaj   +1 more source

Application of Variational Mode Decomposition Algorithm in Elimination of Trend Term of Coal Mine Shaft Blasting Signal

open access: yesMeikuang Anquan, 2020
In the test process of blasting signal, influenced by the test environment and the instrument, the signals detected near blasting area often contain the trend item interference, which cannot achieve the fine extraction of signal characteristics.
FU Xiaoqiang, CUI Xiuqin, YANG Liyun, LEI Zhen, CAI Xueji, LI Yang
doaj   +1 more source

Estimating instantaneous frequency of multicomponent signal using optimization strategy in fractional domain

open access: yesElectronics Letters, 2023
Estimating instantaneous frequencies (IFs) overlapped in both time and frequency domains is an important issue in time‐frequency (TF) analysis. In this letter, the TF information of the signal in fractional domain is combined with an optimization ...
Liyun Xu, Wei Li
doaj   +1 more source

Borneo Lute ‘Sape’: The Frequency Spectrum and Time Frequency Analysis (TFA)

open access: yesBioResources, 2023
Sound elements were studied for a six strings sape, a traditional instrument. The frequency was evaluated using a frequency spectrum and a time frequency plane. PicoScope oscilloscopes and Adobe Audition version 3 were used to record the acoustic spectra.
Sinin Hamdan   +4 more
doaj   +2 more sources

A Deep Neural Network for Working Memory Load Prediction from EEG Ensemble Empirical Mode Decomposition

open access: yesInformation, 2023
Mild Cognitive Impairment (MCI) and Alzheimer’s Disease (AD) are frequently associated with working memory (WM) dysfunction, which is also observed in various neural psychiatric disorders, including depression, schizophrenia, and ADHD. Early detection of
Sriniketan Sridhar   +2 more
doaj   +1 more source

FPGA Based Real-Time Implementation of Online EMD With Fixed Point Architecture

open access: yesIEEE Access, 2019
Empirical mode decomposition (EMD) is a data driven method for nonstationary data analysis which has proven to be extremely useful in diverse applications in biomedical engineering.
Sikender Gul   +2 more
doaj   +1 more source

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