Sliding Mode Singular Spectrum Analysis for the Elimination of Cross-Terms in Wigner–Ville Distribution

Author:

Panda Rohan,Jain Sahil,Tripathy R. K.ORCID,Sharma Rishi Raj,Pachori Ram Bilas

Funder

Birla Institute of Technology and Science, Pilani

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Signal Processing

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. ALS Detection Framework Based on Automatic Singular Spectrum Analysis and Quantum Convolutional Neural Network From EMG Signals;IEEE Sensors Letters;2024-09

2. A defect location method for power cable based on Burg power spectral;Engineering Reports;2024-02-08

3. Successive variational mode decomposition-based enhanced Wigner-Ville distribution for seismo-volcanic events identification;Journal of Volcanology and Geothermal Research;2023-08

4. Suppression of False-terms in Wigner-Ville Distribution using Time and Frequency Windowing;2023 2nd International Conference on Paradigm Shifts in Communications Embedded Systems, Machine Learning and Signal Processing (PCEMS);2023-04-05

5. Cross-terms Reduction in WVD using Sliding Window-based Variational Mode Decomposition;2023 10th International Conference on Signal Processing and Integrated Networks (SPIN);2023-03-23

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