On the public citation graph
Data-Driven Multivariate Signal Denoising Using Mahalanobis Distance
0 signed · 52 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1016/j.compbiomed.2017.07.010openalex-snapshot
Seizure detection from EEG signals using Multivariate Empirical Mode Decomposition
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.2016.08.019openalex-snapshot
Translation invariant multi-scale signal denoising based on goodness-of-fit tests
inferredcites →https://doi.org/10.1016/j.sigpro.2017.01.022openalex-snapshot
A joint framework for multivariate signal denoising using multivariate empirical mode decomposition
inferredcites →https://doi.org/10.1016/s0169-7439(99)00047-7openalex-snapshot
The Mahalanobis distance
inferredcites →https://doi.org/10.1016/s0925-2312(01)00533-1openalex-snapshot
Noise reduction in multichannel neural recordings using a new array wavelet denoising algorithm
inferredcites →https://doi.org/10.1080/01621459.1995.10476626openalex-snapshot
Adapting to Unknown Smoothness via Wavelet Shrinkage
inferredcites →https://doi.org/10.1093/ietfec/e91-a.6.1337openalex-snapshot
A Two-Microphone Noise Reduction Method in Highly Non-stationary Multiple-Noise-Source Environments
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.2009.0502openalex-snapshot
Multivariate empirical mode decomposition
inferredcites →https://doi.org/10.1109/icassp.2017.7952207openalex-snapshot
Multi-channel noise reduction for hands-free voice communication on mobile phones
inferredcites →https://doi.org/10.1109/jstars.2018.2878482openalex-snapshot
Two-Level W-ESMD Denoising for Dynamic Deflection Measurement of Railway Bridges by Microwave Interferometry
inferredcites →https://doi.org/10.1109/lsp.2003.821662openalex-snapshot
Empirical Mode Decomposition as a Filter Bank
inferredcites →https://doi.org/10.1109/lsp.2007.904710openalex-snapshot
Bivariate Empirical Mode Decomposition
inferredcites →https://doi.org/10.1109/tbme.2012.2208964openalex-snapshot
Nonlocal Means Denoising of ECG Signals
inferredcites →https://doi.org/10.1109/tip.2008.919370openalex-snapshot
SURE-LET Multichannel Image Denoising: Interscale Orthonormal Wavelet Thresholding
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.2009.2033730openalex-snapshot
Empirical Mode Decomposition for Trivariate Signals
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.2015.2404307openalex-snapshot
A Class of Multivariate Denoising Algorithms Based on Synchrosqueezing
inferredcites →https://doi.org/10.1142/s1793536913500143openalex-snapshot
DATA FUSION IN SEVERAL ALGORITHMS
inferredcites →https://doi.org/10.1142/s1793536913500155openalex-snapshot
EXTREME-POINT SYMMETRIC MODE DECOMPOSITION METHOD FOR DATA ANALYSIS
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/spy2.331openalex-snapshot
UNSW‐NB15 computer security dataset: Analysis through visualization
inferred← citeshttps://doi.org/10.1007/s10489-022-03264-2openalex-snapshot
Walking motion real-time detection method based on walking stick, IoT, COPOD and improved LightGBM
inferred← citeshttps://doi.org/10.1007/s11760-024-03453-1openalex-snapshot
Signal denoising based on bias-variance of intersection of confidence interval
inferred← citeshttps://doi.org/10.1016/j.autcon.2022.104732openalex-snapshot
Spatial-temporal fusion network for maximum ground surface settlement prediction during tunnel excavation
inferred← citeshttps://doi.org/10.1016/j.dsp.2020.102896openalex-snapshot
A statistical approach to signal denoising based on data-driven multiscale representation
inferred← citeshttps://doi.org/10.1016/j.istruc.2023.105762openalex-snapshot
Semi-supervised structural damage assessment via autoregressive models and evolutionary optimization
inferred← citeshttps://doi.org/10.1016/j.knosys.2025.114574openalex-snapshot
Unsupervised reservoir computing for multivariate denoising of severely contaminated signals
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.renene.2022.09.115openalex-snapshot
Wind turbine performance degradation monitoring using DPGMM and Mahalanobis distance
inferred← citeshttps://doi.org/10.1016/j.sigpro.2020.107667openalex-snapshot
Multivariate nonlinear chirp mode decomposition
inferred← citeshttps://doi.org/10.1016/j.sigpro.2021.108009openalex-snapshot
Multivariate intrinsic chirp mode decomposition
inferred← citeshttps://doi.org/10.1016/j.sigpro.2024.109519openalex-snapshot
Multiscale dynamic graph signal analysis
inferred← citeshttps://doi.org/10.1016/j.ymssp.2022.109897openalex-snapshot
Adaptive multivariate chirp mode decomposition
inferred← citeshttps://doi.org/10.1038/s41598-023-28390-wopenalex-snapshot
Data-driven nonstationary signal decomposition approaches: a comparative analysis
inferred← citeshttps://doi.org/10.1109/access.2020.2988552openalex-snapshot
Multichannel Signal Denoising Using Multivariate Variational Mode Decomposition With Subspace Projection
inferred← citeshttps://doi.org/10.1109/access.2020.3007933openalex-snapshot
An Improved Multivariate Synchrosqueezing Wavelet Transform Denoising Method Using Subspace Projection
inferred← citeshttps://doi.org/10.1109/icfsp62546.2024.10785266openalex-snapshot
Variational Mode Decomposition Denoising Using Anderson-Darling Statistics
inferred← citeshttps://doi.org/10.1109/lsp.2024.3438080openalex-snapshot
Spatiotemporal Climatic Signal Denoising Based on Spatiotemporal Variability Index
inferred← citeshttps://doi.org/10.1109/ssp49050.2021.9513823openalex-snapshot
Multivariate Signal Denoising Based on Generic Multivariate Detrended Fluctuation Analysis
inferred← citeshttps://doi.org/10.1109/tmech.2022.3152171openalex-snapshot
Real-Time Prediction of TBM Driving Parameters Using Geological and Operation Data
inferred← citeshttps://doi.org/10.1109/tqe.2023.3255743openalex-snapshot
On Noise-Sensitive Automatic Tuning of Gate-Defined Sensor Dots
inferred← citeshttps://doi.org/10.1109/tsp.2019.2951223openalex-snapshot
Multivariate Variational Mode Decomposition
inferred← citeshttps://doi.org/10.1109/tsp.2020.3029659openalex-snapshot
Wavelet Based Multivariate Signal Denoising Using Mahalanobis Distance and EDF Statistics
inferred← citeshttps://doi.org/10.1186/s42162-025-00470-3openalex-snapshot
Ground fault insulation monitoring method for smart substation based on Mahalanobis distance and automatic code generation
inferred← citeshttps://doi.org/10.2139/ssrn.5257235openalex-snapshot
Unsupervised Reservoir Computing for Multivariate Denoising of Severely Contaminated Signals
inferred← citeshttps://doi.org/10.23919/eusipco54536.2021.9616193openalex-snapshot
A Novel Multivariate Goodness-of-Fit Test based on Mahalanobis Distance and Its Application in Denoising
inferred← citeshttps://doi.org/10.3390/s20010007openalex-snapshot
Empirical Mode Decomposition-Based Filter Applied to Multifocal Electroretinograms in Multiple Sclerosis Diagnosis
inferred← citeshttps://doi.org/10.48550/arxiv.2005.11413openalex-snapshot
FPGA based design for online computation of Multivariate EMD (MEMD)
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.