Results 151 to 160 of about 44,291 (189)

Two-Dimensional Variational Mode Decomposition

2015
In this paper we propose a variational method to adaptively decompose an image into few different modes of separate spectral bands, which are unknown before. A popular method for recursive one dimensional signal decomposition is the Empirical Mode Decomposition algorithm, introduced by Huang in the nineties. This algorithm, as well as its 2D extension,
Konstantin Dragomiretskiy, Dominique Zosso   +1 more
openaire   +1 more source

A queued Variational Mode Decomposition method

Journal of the Franklin Institute
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Wei Chen, Yong Zhang
openaire   +2 more sources

Variational mode decomposition for ultrasound computed tomography

Medical Imaging 2020: Ultrasonic Imaging and Tomography, 2020
In recent years, Ultrasound computed tomography (USCT) has important clinical application prospect in breast cancer screening and early diagnosis. In this paper, the biomedical image denoising technique based on variational mode decomposition (VMD) method for USCT is investigated.
Shanshan Wang, Liang Zeng, Junjie Song, Liang Zhou, Mingyue Ding, Ming Yuchi   +5 more
openaire   +1 more source

Radiometric identification using variational mode decomposition

Computers & Electrical Engineering, 2019
Abstract Radiometric Identification (RAI) is the identification of wireless devices through their Radio Frequency (RF) emissions. In recent years, the research community has investigated it applying different methods and sets of statistical features extracted from the digitized RF emissions.
Gianmarco Baldini, Gary Steri, Raimondo Giuliani, Franc Dimc   +3 more
openaire   +1 more source

Detection of voltage variation events using variational mode decomposition

2017 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC), 2017
This paper presents a method of detecting voltage sag, swell and interruption events based on a signal processing tool viz. variational mode decomposition (VMD). The proposed method is able to keep track of variations in amplitude, phase, frequency and undelivered energy due to such events.
Pankaj D. Achlerkar, S. R. Samantaray, M. Sabarimalai Manikandan   +2 more
openaire   +1 more source

Hierarchical decomposition based on a variation of empirical mode decomposition

Signal, Image and Video Processing, 2016
Adaptive methods of signal analysis have proved a very useful tool for analysis of non-stationary signals. This is due to the ability of these methods to adapt to the local structures of the signals being analysed, as these methods are not constrained by a fixed basis.
Muhammad Kaleem, Aziz Guergachi, Sridhar Krishnan   +2 more
openaire   +1 more source

Sleep apnea detection from ECG using variational mode decomposition

Biomedical Physics & Engineering Express, 2020
Sleep apnea is a pervasive breathing problem during night sleep, and its repetitive occurrence causes various health problems. Polysomnography is commonly used for apnea screening which is an expensive, time-consuming, and complex process. In this paper, a simple but efficient technique based on the variational mode decomposition (VMD) for automated ...
Hemant Sharma, K K Sharma
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Bearing fault analysis using variational mode decomposition

2014 9th International Conference on Industrial and Information Systems (ICIIS), 2014
Bearing health analysis plays a significant role in industry to improve reliability and performance of critical processes by alarming the faults at early stages. Conventional techniques do no guarantee to detect the faults at early stages because the low energy bearing frequencies get suppressed by stern noise and higher vibrations.
null Mohanty, Karunesh Kumar Gupta, Kota Solomon Raju   +2 more
openaire   +1 more source

Ground Roll Attenuation Using Variational Mode Decomposition

Proceedings, 2015
Ground roll is the main interference wave in seismic data, which is characterized by low frequency and high amplitude. Common techniques for ground roll attenuation include frequency filtering, windowed frequency filtering, f-k filtering, and so on.
W. Liu, S.Y. Cao, Y. He
openaire   +1 more source

Detection of Shockable Ventricular Arrhythmia using Variational Mode Decomposition

Journal of Medical Systems, 2016
Ventricular tachycardia (VT) and ventricular fibrillation (VF) are shockable ventricular cardiac ailments. Detection of VT/VF is one of the important step in both automated external defibrillator (AED) and implantable cardioverter defibrillator (ICD) therapy.
R. K. Tripathy, L. N. Sharma, S. Dandapat   +2 more
openaire   +2 more sources