Relevant bibliographies by topics / 2D variational mode decomposition

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers
  5. Reports

Academic literature on the topic '2D variational mode decomposition'

Author: Grafiati
Published: 21 June 2025
Last updated: 2 August 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic '2D variational mode decomposition.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "2D variational mode decomposition"

1

Zhang, Xingli, Yan Chen, Ruisheng Jia, and Xinming Lu. "Two-dimensional variational mode decomposition for seismic record denoising." Journal of Geophysics and Engineering 19, no. 3 (2022): 433–44. http://dx.doi.org/10.1093/jge/gxac032.

Full text
Abstract:
Abstract Seismic signal denoising is the main task of seismic data processing. This study proposes a novel method for the denoising seismic record on the basis of a two-dimensional variational mode decomposition (2D-VMD) algorithm and permutation entropy (PE). 2D-VMD is a recently introduced adaptive signal decomposition method in which $K$ and $\alpha $ are important decomposing parameters to determine the number of modes, and have a predictable effect on the nature of detected modes. We present a novel method to address the problems of selecting appropriate $K$ and $\alpha $ values and apply
APA, Harvard, Vancouver, ISO, and other styles
2

Li, Yue, Linlin Li, and Chao Zhang. "Desert seismic signal denoising by 2D compact variational mode decomposition." Journal of Geophysics and Engineering 16, no. 6 (2019): 1048–60. http://dx.doi.org/10.1093/jge/gxz065.

Full text
Abstract:
Abstract Noise suppression and effective signal recovery are very important for seismic signal processing. The random noise in desert areas has complex characteristics due to the complex geographical environment; noise characteristics such as non-stationary, non-linear and low frequency. These make it difficult for conventional denoising methods to remove random noise in desert seismic records. To address the problem, this paper proposes a two-dimensional compact variational mode decomposition (2D-CVMD) algorithm for desert seismic noise attenuation. This model decomposes the complex desert se
APA, Harvard, Vancouver, ISO, and other styles
3

Liu, Chao, Ziang Wang, Yaping Huang, Aiping Zeng, and Hongming Fan. "Application of 2D Variational Mode Decomposition Method in Seismic Signal Denoising." Elektronika ir Elektrotechnika 30, no. 2 (2024): 46–53. http://dx.doi.org/10.5755/j02.eie.36100.

Full text
Abstract:
Seismic data are typical nonlinear and nonstationary data. In the acquisition and processing of seismic data, many factors interfere with it. Seismic data contain both effective waves and random noises, seriously affecting the quality of seismic data and not conducive to the goal of fine interpretation of subsequent seismic data. Therefore, studying new seismic data denoising methods is beneficial for improving the quality of seismic data and plays a very important role in subsequent seismic data interpretation. In this paper, the principle of variational mode decomposition (VMD) and 2D-VMD is
APA, Harvard, Vancouver, ISO, and other styles
4

Kang, Shouqiang, Yaqi Liang, Yujing Wang, and Mikulovich V I. "Color image encryption method based on 2D-variational mode decomposition." Multimedia Tools and Applications 78, no. 13 (2019): 17719–38. http://dx.doi.org/10.1007/s11042-018-7129-4.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Chen, Daxing. "Two-Dimensional Variational Mode Decomposition for Noise Suppression in Nanoscale Optoelectronic Signal Processing." Journal of Nanoelectronics and Optoelectronics 20, no. 4 (2025): 415–27. https://doi.org/10.1166/jno.2025.3749.

Full text
Abstract:
This paper proposes a denoising method based on two-dimensional variational mode decomposition (2D-VMD) and a subtraction-average-based optimizer (SABO) for enhancing signal clarity in nanoscale optoelectronic systems. The SABO algorithm optimizes the decomposition parameters (mode number K and penalty factor α) using minimum image entropy, enabling efficient separation of noise from high-resolution signals in nanophotonic imaging or quantum dot-based sensors. The 2D-VMD decomposes multi-channel optoelectronic data into intrinsic mode functions (IMFs), which are analyzed via frequency-wavenumb
APA, Harvard, Vancouver, ISO, and other styles
6

Weng, Wenbo. "Multitask Sparse Representation of Two-Dimensional Variational Mode Decomposition Components for SAR Target Recognition." Scientific Programming 2023 (April 25, 2023): 1–12. http://dx.doi.org/10.1155/2023/8846287.

Full text
Abstract:
A synthetic aperture radar (SAR) automatic target recognition (ATR) method is developed based on the two-dimensional variational mode decomposition (2D-VMD). 2D-VMD decomposes original SAR images into multiscale components, which depict the time-frequency properties of the targets. The original image and its 2D-VMD components are highly correlated, so the multitask sparse representation is chosen to jointly represent them. According to the resulted reconstruction errors of different classes, the target label of test sample can be classified. The moving and stationary target acquisition and rec
APA, Harvard, Vancouver, ISO, and other styles
7

Xiao, Qiyang, Jian Li, Sijin Wu, et al. "Adaptive DSPI phase denoising using mutual information and 2D variational mode decomposition." Measurement Science and Technology 29, no. 4 (2018): 045203. http://dx.doi.org/10.1088/1361-6501/aaa380.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Zhang, Xuebing, Yuxiang Qin, Yaoyao Li, et al. "A GPR 2D Teager-Kaiser energy operator based on the multivariate variational mode decomposition." Remote Sensing Letters 14, no. 1 (2022): 30–38. http://dx.doi.org/10.1080/2150704x.2022.2154178.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Cai, Kewei, Taoping Hu, Wenping Cao, and Guofeng Li. "Classifying Power Quality Disturbances Based on Phase Space Reconstruction and a Convolutional Neural Network." Applied Sciences 9, no. 18 (2019): 3681. http://dx.doi.org/10.3390/app9183681.

Full text
Abstract:
This paper presents a hybrid approach combining phase space reconstruction (PSR) with a convolutional neural network (CNN) for power quality disturbance (PQD) classification. Firstly, a PSR technique is developed to transform a 1D voltage disturbance signal into a 2D image file. Then, a CNN model is developed for the image classification. The feature maps are extracted automatically from the image file and different patterns are derived from variables in CNN. A set of synthetic signals, as well as operational measurements, are used to validate the proposed method. Moreover, the test results ar
APA, Harvard, Vancouver, ISO, and other styles
10

Jiang, Liubing, Xiaolong Zhou, Li Che, Shuwei Rong, and Hexin Wen. "Feature Extraction and Reconstruction by Using 2D-VMD Based on Carrier-Free UWB Radar Application in Human Motion Recognition." Sensors 19, no. 9 (2019): 1962. http://dx.doi.org/10.3390/s19091962.

Full text
Abstract:
As the size of the radar hardware platform becomes smaller and smaller, the cost becomes lower and lower. The application of indoor radar-based human motion recognition has become a reality, which can be realized in a low-cost device with simple architecture. Compared with narrow-band radar (such as continuous wave radar, etc.), the human motion echo signal of the carrier-free ultra-wideband (UWB) radar contains more abundant characteristic information of human motion, which is helpful for identifying different types of human motion. In this paper, a novel feature extraction method by two-dime
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "2D variational mode decomposition"

1

Rashid, Haroon. "Détection, estimation de l'étendue et pronostic du biofouling des hydroliennes : une approche basée sur l'apprentissage automatique." Electronic Thesis or Diss., Brest, 2025. http://theses-scd.univ-brest.fr/2025/These-2025-SPI-Genie_electrique-RASHID_Haroon.pdf.

Full text
Abstract:
L'énergie marémotrice, en tant que source d’énergie renouvelable et durable, offre des perspectives prometteuses pour répondre à la demande mondiale en énergie propre. Cependant, l'efficacité des hydroliennes est souvent compromise par le biofouling, un processus où des organismes marins, tels que les algues et les balanes, s’accumulent sur les surfaces des turbines. Cette croissance biologique peut nuire aux performances, augmenter les coûts de maintenance et entraîner des arrêts fréquents de fonctionnement. Alors que le secteur de l'énergie marémotrice cherche à optimiser les performances e
APA, Harvard, Vancouver, ISO, and other styles
2

Sadeghi, Mehdi. "Potential of the Empirical Mode Decomposition to analyze instantaneous flow fields in Direct Injection Spark Ignition engine : Effect of transient regimes." Thesis, Orléans, 2017. http://www.theses.fr/2017ORLE2069/document.

Full text
Abstract:
Cette étude introduit une nouvelle approche appelée Bivariate 2D-EMD pour séparer le mouvement organisé à grande échelle, soit la composante basse fréquence de l’écoulement des fluctuations turbulentes, soit la composante haute fréquence dans un champ de vitesse instantané bidimensionnel.Cette séparation nécessite un seul champ de vitesse instantané contrairement aux autres méthodes plus couramment utilisées en mécanique des fluides, comme le POD. La méthode proposée durant cette thèse est tout à fait appropriée à l’analyse des écoulements qui sont intrinsèquement instationnaires et non linéai
APA, Harvard, Vancouver, ISO, and other styles
3

Haykal, Vanessa. "Modélisation des séries temporelles par apprentissage profond." Thesis, Tours, 2019. http://www.theses.fr/2019TOUR4019.

Full text
Abstract:
La prévision des séries temporelles est un problème qui est traité depuis de nombreuses années. Dans cette thèse, on s’est intéressé aux méthodes issues de l’apprentissage profond. Il est bien connu que si les relations entre les données sont temporelles, il est difficile de les analyser et de les prévoir avec précision en raison des tendances non linéaires et du bruit présent, spécifiquement pour les séries financières et électriques. A partir de ce contexte, nous proposons une nouvelle architecture de réduction de bruit qui modélise des séries d’erreurs récursives pour améliorer les prévisions.
APA, Harvard, Vancouver, ISO, and other styles
4

Chen, Guan-rong, and 陳冠融. "Speckle removal from 2D images by empirical mode decomposition." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/t9e8hy.

Full text
Abstract:
碩士<br>國立中山大學<br>光電工程研究所<br>95<br>A novel method to reduce speckle noise from a digital image is presented. Speckle noise is introduced once a coherent light source is used. In this paper, we use the Empirical Mode Decomposition(EMD) method to remove speckles caused by such kind of coherent illumination. Many filter algorithms, such as Band-pass Filter, Enhanced Frost Filter, Gamma Filter, Enhanced Lee Filter, have been extensively studied to remove the speckle. However, they cannot remove noise effectively. The EMD method is able to analysis noise efficiently. This makes it possible to accurat
APA, Harvard, Vancouver, ISO, and other styles
5

Silva, Bernardo de Galrinho e. "Contributo para o diagnóstico eficiente de anomalias em rolamentos." Master's thesis, 2021. http://hdl.handle.net/10362/131769.

Full text
Abstract:
Com o avanço tecnológico, as organizações beneficiam da digitalização dos seus processos. No âmbito da presente revolução industrial (denominada Indústria 4.0), a transição para uma atividade de manutenção preventiva condicionada integrada e mais informada pela análise de diversos parâmetros processuais é uma realidade necessária. A manutenção detém uma importância acrescida no processo produtivo das organizações, pois esta atividade permite garantir a disponibilidade e o bom funcionamento dos ativos através da implementação de processos capazes de detetar e prevenir anomalias atempadamente, c
APA, Harvard, Vancouver, ISO, and other styles

Book chapters on the topic "2D variational mode decomposition"

1

Dragomiretskiy, Konstantin, and Dominique Zosso. "Two-Dimensional Variational Mode Decomposition." In Lecture Notes in Computer Science. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-14612-6_15.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Gautam, Subhanshu, and R. Shanmughasundaram. "Classification of Heart Signal Using Variational Mode Decomposition." In Information and Communication Technology for Competitive Strategies (ICTCS 2022). Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-9304-6_62.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Sundar, Aditya, Chinmay Das, and Vivek Pahwa. "Denoising Knee Joint Vibration Signals Using Variational Mode Decomposition." In Advances in Intelligent Systems and Computing. Springer India, 2016. http://dx.doi.org/10.1007/978-81-322-2755-7_74.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Balagopal, Silpa, Vijay Krishna Menon, E. A. Gopalakrishnan, and K. P. Soman. "Multivariate Variational Mode Decomposition based Analysis on Stock Sectors." In Intelligent Systems, Technologies and Applications. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0730-1_26.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Shanmukh, Boni, and R. Shanmughasundaram. "Feature Extraction of ECG Signal Using Variational Mode Decomposition." In Lecture Notes in Electrical Engineering. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-8554-5_20.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Xing, J. P., and T. R. Lin. "Bearing Fault Diagnosis Based on the Variational Mode Decomposition Technique." In Engineering Assets and Public Infrastructures in the Age of Digitalization. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-48021-9_75.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Gao, Mingfang, and Junyong Zhai. "An Optimal Variational Mode Decomposition Method Based On Sparse Index." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-8658-9_49.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Gupta, S., and S. Kaloni. "A Variational Mode Decomposition Approach for Modal Identification of Structures." In Lecture Notes in Civil Engineering. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-1459-3_34.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Balasooriya, Thilina, Prateek Nallabolu, and Changzhi Li. "Application of Variational Mode Decomposition to FMCW Radar Interference Mitigation." In Sensing Technology. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-98886-9_33.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Fei, Hongbo, Chao Zhang, Shuai Xu, Jing Zhang, and Le Wu. "Variational Mode Decomposition Guided by Time-Frequency Domain Difference Information." In Mechanisms and Machine Science. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-69483-7_8.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "2D variational mode decomposition"

1

Naveed, Khuram, and Naveed Ur Rehman. "Variational Mode Decomposition Denoising Using Anderson-Darling Statistics." In 2024 9th International Conference on Frontiers of Signal Processing (ICFSP). IEEE, 2024. https://doi.org/10.1109/icfsp62546.2024.10785266.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Zhang, Jingyuan, Xinyu Li, and Jian Wei You. "Improved Variational Mode Decomposition for Contactless Heartbeat Monitoring." In 2024 Photonics & Electromagnetics Research Symposium (PIERS). IEEE, 2024. http://dx.doi.org/10.1109/piers62282.2024.10618286.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Zhao, Yuntao, and Zhenglu Li. "Adaptive Variational Mode Decomposition for Bearing Fault Diagnosis." In 2024 China Automation Congress (CAC). IEEE, 2024. https://doi.org/10.1109/cac63892.2024.10865109.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Chen, Xiaofang, Wenbo Xu, and Yue Wang. "Specific Emitter Identification Based on Joint Variational Mode Decomposition." In 2024 IEEE 100th Vehicular Technology Conference (VTC2024-Fall). IEEE, 2024. https://doi.org/10.1109/vtc2024-fall63153.2024.10757549.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Kumar, Pawan, Karan Nathwani, and Murtiza Ali. "Variational Mode Decomposition-Based Self-Noise Cancellation in Oceanic Environment." In OCEANS 2024 - SINGAPORE. IEEE, 2024. http://dx.doi.org/10.1109/oceans51537.2024.10682390.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Lu, De-Yan, Jian-Jiun Ding, and Yu Tsao. "Neural Variational Mode Decomposition and Its Application for ECG Denoising." In ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2025. https://doi.org/10.1109/icassp49660.2025.10889014.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Ruan, JunKai, AoJie Li, DaMing Du, Zhengfang Qian, and Hua Zhu. "Accurate Vital Sign Extraction by Variational Nonlinear Chirp Mode Decomposition." In 2024 Cross Strait Radio Science and Wireless Technology Conference (CSRSWTC). IEEE, 2024. https://doi.org/10.1109/csrswtc64338.2024.10811604.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Wang, Renjie, Yuesheng Zhao, and Qitao Pan. "Vector Modulation North-Seeking Algorithm Based on Variational Mode Decomposition." In 2024 Academic Conference of China Instrument and Control Society (ACCIS). IEEE, 2024. https://doi.org/10.1109/accis62068.2024.10948684.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Rudd, David Hason, Xingyi Gao, Md Rafiqul Islam, Huan Huo, and Guandong Xu. "Speech Emotion Recognition Using Mel Spectrogram HPCA and Variational Mode Decomposition." In 2024 11th International Conference on Behavioural and Social Computing (BESC). IEEE, 2024. https://doi.org/10.1109/besc64747.2024.10780726.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Lamprou, Charalampos, Aamna Alshehhi, Leontios J. Hadjileontiadis, and Mohamed L. Seghier. "Multivariate Variational Mode Decomposition Improves Dynamic Causal Modeling for FMRI Data." In 2024 IEEE International Symposium on Biomedical Imaging (ISBI). IEEE, 2024. http://dx.doi.org/10.1109/isbi56570.2024.10635900.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Reports on the topic "2D variational mode decomposition"

1

Multiple Engine Faults Detection Using Variational Mode Decomposition and GA-K-means. SAE International, 2022. http://dx.doi.org/10.4271/2022-01-0616.

Full text
Abstract:
As a critical power source, the diesel engine is widely used in various situations. Diesel engine failure may lead to serious property losses and even accidents. Fault detection can improve the safety of diesel engines and reduce economic loss. Surface vibration signal is often used in non-disassembly fault diagnosis because of its convenient measurement and stability. This paper proposed a novel method for engine fault detection based on vibration signals using variational mode decomposition (VMD), K-means, and genetic algorithm. The mode number of VMD dramatically affects the accuracy of ext
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic '2D variational mode decomposition' for particular source types:
Journal articles
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography