Results 231 to 240 of about 296,188 (298)

Jamming Recognition Algorithm Based on Variational Mode Decomposition

IEEE Sensors Journal, 2023
Aiming to address the issue of deception jamming generated by digital radio frequency memory (DRFM), this study proposes a feature extraction algorithm based on variational mode decomposition (VMD) for deception jamming recognition and composite ...
Hongping Zhou, Ziwei Wang, Ruowu Wu, Xiong Xu, Z. Guo   +4 more
semanticscholar   +1 more source

A Bayesian Optimized Variational Mode Decomposition-Based Denoising Method for Measurement While Drilling Signal of Down-the-Hole Drilling

IEEE Transactions on Instrumentation and Measurement, 2023
Measurement while drilling (MWD) emerges as a reliable technique for assessing rock mass properties. However, the measured MWD signals are often contaminated with noise, leading to distorted signals.
Wei Ding, Shijun Hou, Shuaikang Tian, Shufeng Liang, D. Liu   +4 more
semanticscholar   +1 more source

Spectral Unmixing Successive Variational Mode Decomposition for Robust Vital Signs Detection Using UWB Radar

IEEE Transactions on Instrumentation and Measurement, 2023
The evaluation of clinical status and vital signs is a crucial component of remote medical care. Radar provides a noncontact monitoring measurement without consideration of lighting or privacy.
Lihong Qiao, Zehua Wang, Bin Xiao, Yucheng Shu, Xiao Luan, Yuhang Shi, Weisheng Li, Xinbo Gao   +7 more
semanticscholar   +1 more source

Generalized Variational Mode Decomposition: A Multiscale and Fixed-Frequency Decomposition Algorithm

IEEE Transactions on Instrumentation and Measurement, 2021
To overcome the limitations of variational mode decomposition (VMD) algorithm that its frequency scales and spectrum positions cannot be flexibly adjusted to decompose signals as required, a generalized VMD (GVMD) was proposed. This article addresses the fundamental theory of GVMD. In order to highlight the local characteristics of the signal much more
Yanfei Guo, Zhousuo Zhang
openaire   +1 more source

Variational mode decomposition and sample entropy optimization based transformer framework for cloud resource load prediction

Knowledge-Based Systems, 2023
The efficient prediction of cloud resource demand plays a crucial role in resource allocation and scheduling in cloud data centers, helping to optimize resource utilization and improve service quality. However, accurately predicting cloud resource demand
Jiaxian Zhu, Weihua Bai, Jialing Zhao, Liyun Zuo, Teng Zhou, Keqin Li   +5 more
semanticscholar   +1 more source

Electroencephalogram Emotion Recognition Using Combined Features in Variational Mode Decomposition Domain

IEEE Transactions on Cognitive and Developmental Systems, 2023
Using electroencephalogram (EEG) to recognize human emotion has attracted increasing attention. However, feature extraction from EEG is a challenging work because it is a nonstationary continuous sequential signal.
Zhentao Liu, Si-Jun Hu, Jinhua She, Zhaohui Yang, Xin Xu   +4 more
semanticscholar   +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 0001   +2 more
openaire   +1 more source

Enhancement of variational mode decomposition with missing values

Signal Processing, 2018
A new variational mode decomposition that efficiently handles missing data is proposed.A practical algorithm that reflects the adjustment of the missing sample effects under the framework of VMD algorithm is developed.Proposed method can be applicable to analyze various kind of signals through wavelet transform.
Guebin Choi, Hee-Seok Oh, Donghoh Kim
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

Bayesian Dynamic Mode Decomposition with Variational Matrix Factorization

Proceedings of the AAAI Conference on Artificial Intelligence, 2021
Dynamic mode decomposition (DMD) and its extensions are data-driven methods that have substantially contributed to our understanding of dynamical systems. However, because DMD and most of its extensions are deterministic, it is difficult to treat probabilistic representations of parameters and predictions.
Takahiro Kawashima, Hayaru Shouno, Hideitsu Hino   +2 more
openaire   +1 more source