Evidence map›Paper›PMID 36564455›Full record

ArticleScientific reports2022

Investigation of microseismic signal denoising using an improved wavelet adaptive thresholding method.

Zhen Zhang, Yicheng Ye, Binyu Luo, Guan Chen, Meng Wu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

5 authors.

Zhen ZhangSchool of Resources and Environmental Engineering, Wuhan University of Science and Technology, Wuhan, 430081, Hubei, China.
Yicheng YeSchool of Resources and Environmental Engineering, Wuhan University of Science and Technology, Wuhan, 430081, Hubei, China.
Binyu LuoSchool of Resources and Environmental Engineering, Wuhan University of Science and Technology, Wuhan, 430081, Hubei, China. binyul@126.com.
Guan ChenSchool of Resources and Environmental Engineering, Wuhan University of Science and Technology, Wuhan, 430081, Hubei, China.
Meng WuSchool of Resources and Environmental Engineering, Wuhan University of Science and Technology, Wuhan, 430081, Hubei, China.

Funding

National Natural Science Foundation of China, China No. 51804224The work was supported by the Key Research and Development Plan of Hubei Province, China No. 2020BCA082Wuhan University of Science and Technology 2021 Graduate Innovation and Entrepreneurship Fund Project China JCX2021140
6 · The paper itself

Abstract

There are high- and low-frequency noise signals in a microseismic signal that can lead to the distortion and submersion of an effective waveform. At present, effectively removing high- and low-frequency noise without losing the effective signal of local waveform spikes remains a challenge. This work addresses this issue with an improved wavelet adaptive thresholding method. Because a denoised signal conceptually approximates the minimum error, a dynamic selection model is established for the optimal threshold. On this basis, an adaptive correction factor a

Identifiers

PMID36564455
PMCPMC9789042

What OpenQuestion holds

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Registered trials

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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.