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Time-varying vibration decomposition and analysis based on the Hilbert transform
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Outgoing claims: the papers this work cites, builds on, or argues with.
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NON-LINEAR FREE VIBRATION IDENTIFICATION VIA THE HILBERT TRANSFORM
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Time‒Frequency and Time‒Scale Methods: Adaptive Decompositions, Uncertainty Principles, and Sampling
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The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis
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Estimating and interpreting the instantaneous frequency of a signal. I. Fundamentals
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Time-Varying and Non-Linear Dynamical System Identification Using the Hilbert Transform
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Recent Developments in Chaotic Time Series Analysis
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A NEW VIEW OF NONLINEAR WATER WAVES: The Hilbert Spectrum
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Bearing fault feature extraction method: stochastic resonance-based negative entropy of square envelope spectrum
inferred← citeshttps://doi.org/10.1088/1361-6579/adece3openalex-snapshot
Photoplethysmography imaging to assess facial perfusion under simulated hypovolemia
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Dynamic time warping based instantaneous frequency estimation for rotating machineries under non-stationary operating conditions
inferred← citeshttps://doi.org/10.1098/rsos.181131openalex-snapshot
Novel Fourier quadrature transforms and analytic signal representations for nonlinear and non-stationary time-series analysis
inferred← citeshttps://doi.org/10.1098/rspa.2016.0871openalex-snapshot
The Fourier decomposition method for nonlinear and non-stationary time series analysis
inferred← citeshttps://doi.org/10.1108/k-06-2023-1094openalex-snapshot
Does cycle superposition amplify bank liquidity risk under different levels of financial openness? Empirical evidence from China
inferred← citeshttps://doi.org/10.1109/access.2017.2766232openalex-snapshot
Adaptive Mode Decomposition Methods and Their Applications in Signal Analysis for Machinery Fault Diagnosis: A Review With Examples
inferred← citeshttps://doi.org/10.1109/access.2021.3100638openalex-snapshot
A Channel Selection Method for Emotion Recognition From EEG Based on Swarm-Intelligence Algorithms
inferred← citeshttps://doi.org/10.1109/acssc.2018.8645274openalex-snapshot
Comparison of Hilbert Vibration Decomposition with Empirical Mode Decomposition for Classifying Epileptic Seizures
inferred← citeshttps://doi.org/10.1109/ccdc.2018.8407827openalex-snapshot
Planet gear fault diagnosis based on HVD and envelope time-domain synchronous average
inferred← citeshttps://doi.org/10.1109/embc46164.2021.9631081openalex-snapshot
Classification of Epileptic Seizure From EEG Signal Based on Hilbert Vibration Decomposition and Deep Learning
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A Novel Thresholding Technique for the Denoising of Multicomponent Signals
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A Stochastic Resonance Based Signal Reinforcement Approach for Early Fault Diagnosis of Rolling Bearings
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Modeling load parameters of ball mill using frequency spectral features based on Hilbert vibration decomposition
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Modeling mill load parameter based on LASSO using multi-scale high dimensional frequency spectra data1
inferred← citeshttps://doi.org/10.1109/icma69663.2026.11647391openalex-snapshot
Physics-Informed Optimization of Quality Factors in Resonance-based Sparse Signal Decomposition for Motor Bearing Fault Diagnosis
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A hybrid approach for pansharpening using Hilbert vibration decomposition
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Gas turbine shaft unbalance fault detection by using vibration data and neural networks
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Investigating the Impact of Hilbert Vibrational Decomposition on Chaos Based Image Encryption Algorithm
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Emerging Versatile Context Representation on Modulation Recognition with Vision Transformer
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Seismic Activity-based Human Intrusion Detection using Deep Neural Networks
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Marine Shafting Fault Detection Method Using Improved Envelope Analysis
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Time-Frequency Based Detection of Mitral Regurgitation Using Seismocardiogram Signal
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DL-SCADS: Deep Learning-Based Post-Silicon Side-Channel Analysis Using Decomposed Signal
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VMD-based methods for denoising terahertz signals obtained from biological tissue
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IMF remixing for mode demixing in EMD and application for jitter analysis
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Identification of seizure from single channel EEG using Support Vector Machine & Hilbert Vibration Decomposition
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Analysis of the EMG Signal During Cyclic Movements Using Multicomponent AM–FM Decomposition
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Seizure Types Classification by Generating Input Images With in-Depth Features From Decomposed EEG Signals for Deep Learning Pipeline
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Adaptively Optimized Masking EMD for Separating Intrinsic Oscillatory Modes of Nonstationary Signals
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Evaluation of the analytic representation of long-record ECG and its HRV signals for congestive heart failure classification
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Understanding Harmonic Structures Through Instantaneous Frequency
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Automatic Modulation Recognition for Overlapping Radar Signals based on Multi-Domain SE-ResNeXt
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Bidimentional emphirical mode decomposition based image fusion
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On the use of instantaneous complex frequency for analysis and modification of simple sounds
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Induction motor bearing fault identification using vibration measurement
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An Intrinsic Scale Component-Based Boundary Effect Suppression Method for Hilbert Vibration Decomposition
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Detection of the Third Heart Sound Based on Nonlinear Signal Decomposition and Time–Frequency Localization
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Quantitative Measurement of Split of the Second Heart Sound (S2)
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An improved Hilbert Vibration Decomposition method for analysis of low frequency oscillations
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Intelligent Decision Support and Fusion Models for Fault Detection and Location in Power Grids
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Chirplet Path Fusion for the Analysis of Time-Varying Frequency-Modulated Signals
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Automated Variational Nonlinear Chirp Mode Decomposition for Bearing Fault Diagnosis
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Tacholess Speed Estimation in Order Tracking: A Review With Application to Rotating Machine Fault Diagnosis
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Rotating Angle Estimation for Hybrid Stepper Motors With Application to Bearing Fault Diagnosis
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Variational Mode Decomposition
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