Parameter-Adaptive TVF-EMD Feature Extraction Method Based on Improved GOA.

Chengjiang Zhou, Zenghui Xiong, Haicheng Bai, Ling Xing, Yunhua Jia, Xuyi Yuan

Abstract read

In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

Study on displacement by integrating acceleration of vibration screening excitation platform based on EBKA-TVF-EMD.Heliyon · 2025
Article

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Chengjiang ZhouSchool of Information Science and Technology, Yunnan Normal University, Kunming 650500, China.ORCID 0000-0003-4218-105X

Zenghui XiongSchool of Information Science and Technology, Yunnan Normal University, Kunming 650500, China.

Haicheng BaiSchool of Information Science and Technology, Yunnan Normal University, Kunming 650500, China.

Ling XingSchool of Information Science and Technology, Yunnan Normal University, Kunming 650500, China.

Yunhua JiaSchool of Information Science and Technology, Yunnan Normal University, Kunming 650500, China.

Xuyi YuanFaculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China.ORCID 0000-0001-5419-4777

Funding

Fundamental Research Program of Yunnan Province 202201AU070055National Natural Science Foundation of China 41971392National Natural Science Foundation of China 51765022PhD research startup foundation of Yunnan Normal University 01000205020503131

6 · The paper itself

Abstract

In order to separate the sub-signals and extract the feature frequency in the signal accurately, we proposed a parameter-adaptive time-varying filtering empirical mode decomposition (TVF-EMD) feature extraction method based on the improved grasshopper optimization algorithm (IGOA). The method not only improved the local optimal problem of GOA, but could also determine the bandwidth threshold and B-spline order of TVF-EMD adaptively. Firstly, a nonlinear decreasing strategy was introduced in this paper to adjust the decreasing coefficient of GOA dynamically. Then, energy entropy mutual information (

Indexed as

AlgorithmsSignal Processing, Computer-AssistedComputer SimulationEntropybearingEEMI indexIGOAsignal decompositionTVF-EMD

Identifiers

PMID36236294

DOI10.3390/s22197195

PMCPMC9571525

What OpenQuestion holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.