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A Class of Multivariate Denoising Algorithms Based on Synchrosqueezing

https://doi.org/10.1109/tsp.2015.2404307

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/j.acha.2010.08.002openalex-snapshot

Synchrosqueezed wavelet transforms: An empirical mode decomposition-like tool

inferredcites →https://doi.org/10.1016/j.csda.2004.12.010openalex-snapshot

Multivariate denoising using wavelets and principal component analysis

inferredcites →https://doi.org/10.1016/j.sigpro.2008.07.023openalex-snapshot

Wavelet denoising techniques with applications to experimental geophysical data

inferredcites →https://doi.org/10.1016/j.sigpro.2012.11.029openalex-snapshot

The Synchrosqueezing algorithm for time-varying spectral analysis: Robustness properties and new paleoclimate applications

inferredcites →https://doi.org/10.1016/j.sigpro.2014.08.010openalex-snapshot

Synchrosqueezing-based time-frequency analysis of multivariate data

inferredcites →https://doi.org/10.1016/s0165-1684(99)00065-1openalex-snapshot

Time–frequency representation based on the reassigned S-method

inferredcites →https://doi.org/10.1093/biomet/81.3.425openalex-snapshot

Ideal Spatial Adaptation by Wavelet Shrinkage

inferredcites →https://doi.org/10.1098/rspa.1998.0193openalex-snapshot

The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis

inferredcites →https://doi.org/10.1098/rspa.2003.1199openalex-snapshot

The Hilbert spectrum via wavelet projections

inferredcites →https://doi.org/10.1098/rspa.2009.0502openalex-snapshot

Multivariate empirical mode decomposition

inferredcites →https://doi.org/10.1109/18.382009openalex-snapshot

De-noising by soft-thresholding

inferredcites →https://doi.org/10.1109/78.382394openalex-snapshot

Improving the readability of time-frequency and time-scale representations by the reassignment method

inferredcites →https://doi.org/10.1109/78.790670openalex-snapshot

On wavelet denoising and its applications to time delay estimation

inferredcites →https://doi.org/10.1109/78.806084openalex-snapshot

Two denoising methods by wavelet transform

inferredcites →https://doi.org/10.1109/icassp.2014.6853609openalex-snapshot

The fourier-based synchrosqueezing transform

inferredcites →https://doi.org/10.1109/lsp.2007.904710openalex-snapshot

Bivariate Empirical Mode Decomposition

inferredcites →https://doi.org/10.1109/msp.2013.2265316openalex-snapshot

Time-Frequency Reassignment and Synchrosqueezing: An Overview

inferredcites →https://doi.org/10.1109/msp.2013.2267931openalex-snapshot

Empirical Mode Decomposition-Based Time-Frequency Analysis of Multivariate Signals: The Power of Adaptive Data Analysis

inferredcites →https://doi.org/10.1109/proc.1975.10036openalex-snapshot

Adaptive noise cancelling: Principles and applications

inferredcites →https://doi.org/10.1109/tassp.1978.1163047openalex-snapshot

Analysis of time-varying signals with small BT values

inferredcites →https://doi.org/10.1109/tnsre.2012.2229296openalex-snapshot

Classification of Motor Imagery BCI Using Multivariate Empirical Mode Decomposition

inferredcites →https://doi.org/10.1109/tsp.2009.2013885openalex-snapshot

Development of EMD-Based Denoising Methods Inspired by Wavelet Thresholding

inferredcites →https://doi.org/10.1109/tsp.2009.2031729openalex-snapshot

Bivariate Instantaneous Frequency and Bandwidth

inferredcites →https://doi.org/10.1109/tsp.2011.2106779openalex-snapshot

Filter Bank Property of Multivariate Empirical Mode Decomposition

inferredcites →https://doi.org/10.1109/tsp.2011.2173681openalex-snapshot

Analysis of Modulated Multivariate Oscillations

inferredcites →https://doi.org/10.1109/tsp.2012.2212891openalex-snapshot

A New Algorithm for Multicomponent Signals Analysis Based on SynchroSqueezing: With an Application to Signal Sampling and Denoising

inferredcites →https://doi.org/10.1142/s179353691100074xopenalex-snapshot

ONE OR TWO FREQUENCIES? THE SYNCHROSQUEEZING ANSWERS

inferredcites →https://doi.org/10.1201/9780203734032-20openalex-snapshot

A Nonlinear Squeezing of the Continuous Wavelet Transform Based on Auditory Nerve Models

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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A SECOND‐ORDER SYNCHROSQUEEZING S‐TRANSFORM AND ITS APPLICATION IN SEISMIC SPECTRAL DECOMPOSITION

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Decomposition of Overlapping Signals with Multivariate Sparse Learning

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Spatiotemporal denoising for structural dynamic response monitoring data

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Transform learning in the synchrosqueezing frequency domain—A novel denoising strategy for optical fiber seismic records

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Unsupervised reservoir computing for multivariate denoising of severely contaminated signals

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Second-order Iterative Time-rearrangement Synchrosqueezing Transform and its application to rolling bearing fault diagnosis

inferred← citeshttps://doi.org/10.1016/j.measurement.2024.116142openalex-snapshot

Fully multivariate detrended fluctuation analysis using Mahalanobis norm with application to multivariate signal denoising

inferred← citeshttps://doi.org/10.1016/j.sigpro.2017.01.022openalex-snapshot

A joint framework for multivariate signal denoising using multivariate empirical mode decomposition

inferred← citeshttps://doi.org/10.1016/j.ymssp.2017.07.009openalex-snapshot

Matching synchrosqueezing transform: A useful tool for characterizing signals with fast varying instantaneous frequency and application to machine fault diagnosis

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High-order synchrosqueezing wavelet transform and application to planetary gearbox fault diagnosis

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Intrinsic synchrosqueezing analysis on micro‐Doppler features for small unmanned aerial vehicles identification with dual‐channel radar

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Multisensor signal denoising based on matching synchrosqueezing wavelet transform for mechanical fault condition assessment

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Quantifying team cooperation through intrinsic multi-scale measures: respiratory and cardiac synchronization in choir singers and surgical teams

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An Improved Multivariate Synchrosqueezing Wavelet Transform Denoising Method Using Subspace Projection

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Nonuniformly sampled trivariate empirical mode decomposition

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Identification of Microseismic Signals of Rock Mass Fracture in Mines

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Radar Micro-Doppler Rotor Feature Extraction Based on Hybrid Cost Function and Dwell Penalty Mechanism

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Synchrosqueezing Transform-Based Frequency Shifting Detection for Earthquake-Damaged Structures

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Synchrosqueezing Phase Analysis on Micro-Doppler Parameters for Small UAVs Identification With Multichannel Radar

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Data-Driven Multivariate Signal Denoising Using Mahalanobis Distance

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Multivariate Signal Denoising Based on Generic Multivariate Detrended Fluctuation Analysis

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Synchrosqueezing S-Transform and Its Application in Seismic Spectral Decomposition

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PS-Wavelet: A Novel Cubic Polishing Spline Wavelet for Image Processing

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Matching Synchrosqueezing Wavelet Transform and Application to Aeroengine Vibration Monitoring

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Near-Field Micro-Doppler Effect and Spectrum Characteristics of Rotating Targets: Theoretical Analysis and Parameter Estimation Method

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Parameterized Iterative Time–Frequency-Multisqueezing Transform for Bearing Fault Diagnosis

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Synchrosqueezing Transform in Biomedical Applications: A mini review

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Retrieval of the Modes of Multicomponent Signals From Downsampled Short-Time Fourier Transform

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Wavelet Based Multivariate Signal Denoising Using Mahalanobis Distance and EDF Statistics

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Instantaneous Frequency Band and Synchrosqueezing in Time-Frequency Analysis

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Multivariate Denoising and Missing Data Estimation for Heavy-Tailed Signals

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Seismic Random Noise Denoising Using Mini-Batch Multivariate Variational Mode Decomposition

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Automatic noise-removal/signal-removal based on general cross-validation thresholding in synchrosqueezed domain and its application on earthquake data

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An Improved Multivariate Wavelet Denoising Method Using Subspace Projection

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Deblocking Artifact of Satellite Image Based on Adaptive Soft-Threshold Anisotropic Filter Using Wavelet

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Unsupervised Reservoir Computing for Multivariate Denoising of Severely Contaminated Signals

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Joint High-Order Synchrosqueezing Transform and Multi-Taper Empirical Wavelet Transform for Fault Diagnosis of Wind Turbine Planetary Gearbox under Nonstationary Conditions

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