A review of variational mode decomposition in seismic data analysis
Signal processing techniques play an important role in seismic data analysis. Variational
mode decomposition (VMD), as a powerful signal processing method, has been extensively …
mode decomposition (VMD), as a powerful signal processing method, has been extensively …
Adaptive variational mode decomposition method for signal processing based on mode characteristic
J Lian, Z Liu, H Wang, X Dong - Mechanical Systems and Signal …, 2018 - Elsevier
Variational mode decomposition is a completely non-recursive decomposition model, where
all the modes are extracted concurrently. However, the model requires a preset mode …
all the modes are extracted concurrently. However, the model requires a preset mode …
Hybrid wind energy forecasting and analysis system based on divide and conquer scheme: A case study in China
Wind energy, acknowledged as a promising form of renewable energy and the fastest-
growing clean method for electricity generation, has attracted considerable attention from …
growing clean method for electricity generation, has attracted considerable attention from …
A variational mode decompoisition approach for analysis and forecasting of economic and financial time series
S Lahmiri - Expert Systems with Applications, 2016 - Elsevier
The empirical mode decomposition (EMD) has been successfully applied to adaptively
decompose economic and financial time series for forecasting purpose. Recently, the …
decompose economic and financial time series for forecasting purpose. Recently, the …
Digital image noise estimation using DWT coefficients
Noise type and strength estimation are important in many image processing applications like
denoising, compression, video tracking, etc. There are many existing methods for estimation …
denoising, compression, video tracking, etc. There are many existing methods for estimation …
A novel reformed histogram equalization based medical image contrast enhancement using krill herd optimization
In this paper, a novel krill herd (KH) based optimized contrast and sharp edge enhancement
framework is introduced for medical images. Plateau limit and fitness function are proposed …
framework is introduced for medical images. Plateau limit and fitness function are proposed …
Comparing variational and empirical mode decomposition in forecasting day-ahead energy prices
S Lahmiri - IEEE Systems Journal, 2015 - ieeexplore.ieee.org
Recently, variational mode decomposition (VMD) has been proposed as an advanced
multiresolution technique for signal processing. This study presents a VMD-based …
multiresolution technique for signal processing. This study presents a VMD-based …
A hybrid model based on variational mode decomposition and gradient boosting regression tree for monthly runoff forecasting
X He, J Luo, P Li, G Zuo, J Xie - Water Resources Management, 2020 - Springer
Accurate and reliable monthly runoff forecasting is of great significance for water resource
optimization and management. A neoteric hybrid model based on variational mode …
optimization and management. A neoteric hybrid model based on variational mode …
Nonstationary significant wave height forecasting with a hybrid VMD-CNN model
J Zhang, X Xin, Y Shang, Y Wang, L Zhang - Ocean Engineering, 2023 - Elsevier
Significant wave height information is used to measure the intensity of storms and is an
important factor in forecasting potential damage in coastal communities, to marine vessels …
important factor in forecasting potential damage in coastal communities, to marine vessels …
EMD and VMD empowered deep learning for radio modulation recognition
T Chen, S Gao, S Zheng, S Yu, Q Xuan… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Deep learning has been widely exploited in radio modulation recognition in recent years. In
this paper, we exploit empirical mode decomposition (EMD) and variational mode …
this paper, we exploit empirical mode decomposition (EMD) and variational mode …