Results 51 to 60 of about 707 (201)
Photoplethysmography for Measuring Cognitive Load in XR Environments: A Systematic Review
Advanced Sensor Research, Volume 5, Issue 3, March 2026.ABSTRACT Photoplethysmography (PPG) is a low‐cost, low‐power biosensing technology with growing applications in education, particularly for monitoring cognitive load in eXtended Reality (XR) learning environments. Measuring cognitive load is critical for preventing overload and optimising immersive learning, yet existing approaches such as self‐reports
Alya Alshehhi +2 more
wiley +1 more source
Dynamic wavelength calibration based on synchrosqueezed wavelet transform
Optics Express, 2022 With the developments of the tunable laser source (TLS), there are increasing demands for high-resolution dynamic wavelength calibration in recent years. Considering mutual constraints between wide measurement range and high calibration resolution, we propose a dynamic wavelength calibration method based on an auxiliary Mach-Zehnder interferometer (MZI)
Hong Dang +7 more
openaire +2 more sources
IET Generation, Transmission &Distribution, Volume 20, Issue 1, January/December 2026.ABSTRACT In recent years, smart distribution networks have developed rapidly. However, complex electrical equipment and multisource monitoring data present great challenges for efficient fault detection in distribution networks. Accordingly, this study designs a multistage fault diagnosis framework based on a modified convolutional neural network (MCNN)
Fei Xiao +5 more
wiley +1 more source
Emotion recognition classification in EEG signals using multivariate synchrosqueezing transform
, 2017 Electrophysiological data processing can take place both in time and in frequency domains as well as in the joint time-frequency domain. Short Time Fourier Transform and Wavelet Transform are commonly used time-frequency analysis methods. The limitations
Bulent Yilmaz +5 more
core +1 more source
IEEE Access, 2020 The time-frequency energy distribution processed by a short-time Fourier transform can be compressed to the real instantaneous frequency by the synchrosqueezing transformation (SST), which improves the time-frequency energy concentration of the signal ...
Xin Li +3 more
doaj +1 more source
A Power Quality Disturbance Classification Method Based on Fine‐Tuned Moment Foundation Model
IET Generation, Transmission &Distribution, Volume 20, Issue 1, January/December 2026.This paper introduces a robust power quality disturbance (PQD) classification method by fine‐tuning the moment time‐series foundation model to address the challenges of non‐Gaussian noise and varying sampling rates in inverter‐dominated grids. By utilising a resolution‐invariant patching mechanism and robust statistical normalisation, the proposed ...
Chengrui Zhang +5 more
wiley +1 more source
Statistics of the Synchrosqueezing Transform
, 2023 We investigate the synchrosqueezing transform applied to complex gaussian white noise, as well as signals consisting of a single harmonic component contaminated with complex gaussian white noise.
Sourisseau, Matthew John
core
Making Synchrosqueezing Locally Adaptive in The Time-Frequency Plane
, 2023 International audienceIn this work, we explore the problem of making synchrosqueezing transform adaptive. To deal with multicomponent signals, existing methods use a fixed order N , thus assuming all the modes making up the signal have order N polynomial
Colominas, Marcelo, Meignen, Sylvain
core +1 more source
Shock and Vibration, 2022 To extract any information from a complex data vibration, the time-frequency technique represents a suitable tool and a better indicator of the overall asset health of a rotating machine. Fluid influences on a cracked driveshaft and dynamic analysis of a
Bernard Xavier Tchomeni Kouejou +1 more
doaj +1 more source
Applied Sciences, 2021 With widespread non-linear loads and the increasing penetration of distributed generations in the power system, harmonic pollution has become a great concern.
Gary W. Chang +4 more
doaj +1 more source