@inproceedings{5051b4b4882448e09e7468d92345d108,
title = "A binary variational mode decomposition algorithm based on similarity matching",
abstract = "The existing algorithms in signal processing had the problems of incomplete separation and inability to adaptively decompose signals. The VMD algorithm can be used to decompose the composite signal, but the number of IMFs needs to be artificially set before decomposition. This paper proposes a binary variational mode decomposition algorithm based on similarity matching, which combines the tree decomposition with the similarity measurement to separate the other modes mixed in the current mode signal, and finally obtains the pure sub-signal through superposition. According to the sub-signal mutual information between the signal and the original signal removes noise components. Simulation analysis shows that BVMD has a good performance of denoising and signal separation.",
keywords = "Binary decomposition, Signal denoising, Signal separation, Similarity matching, Variational mode decomposition",
author = "Tongqiang Fu and Qiao Hu and Huiwen Zheng and Yu Liu",
note = "Publisher Copyright: {\textcopyright} 2021 ACM.; 5th International Conference on Digital Signal Processing, ICDSP 2021 ; Conference date: 26-02-2021 Through 28-02-2021",
year = "2021",
month = feb,
day = "26",
doi = "10.1145/3458380.3458431",
language = "英语",
series = "ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery",
pages = "296--301",
booktitle = "2021 5th International Conference on Digital Signal Processing, ICDSP 2021",
}