Results 261 to 270 of about 7,212 (303)

Variational Mode Decomposition

IEEE Transactions on Signal Processing, 2014
During the late 1990s, Huang introduced the algorithm called Empirical Mode Decomposition, which is widely used today to recursively decompose a signal into different modes of unknown but separate spectral bands. EMD is known for limitations like sensitivity to noise and sampling. These limitations could only partially be addressed by more mathematical
Dragomiretskiy Konstantin, Zosso Dominique   +1 more
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Nonlinear Chirp Mode Decomposition: A Variational Method

IEEE Transactions on Signal Processing, 2017
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chen, Shiqian, Dong, Xingjian, Peng, Zhike, Zhang, Wenming, Meng, Guang   +4 more
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Image dehazing using variational mode decomposition

2017 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET), 2017
Haze is caused by the scattering of airtight in atmosphere and it deteriorates the contrast of the photographs. Here, we propose a novel approach for haze removal based on Two Dimensional Variational Mode Decomposition (2D VMD). Two dimensional VMD decomposes the input image into desired number of bands with different central frequencies. From this set
Hima T. Suseelan, V. Sowmya, K. P. Soman
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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
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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
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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
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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
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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
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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
openaire   +2 more sources