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Echo-Signal De-Noising of CO2-DIAL Based on the Ensemble Empirical Mode Decomposition

Echo-Signal De-Noising of CO2-DIAL Based on the Ensemble Empirical Mode Decomposition

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_88aa5d2bfaae482781e712d569ca522c

Echo-Signal De-Noising of CO2-DIAL Based on the Ensemble Empirical Mode Decomposition

About this item

Full title

Echo-Signal De-Noising of CO2-DIAL Based on the Ensemble Empirical Mode Decomposition

Publisher

Basel: MDPI AG

Journal title

Atmosphere, 2022-09, Vol.13 (9), p.1361

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

The carbon dioxide (CO2) differential absorption lidar echo signal is susceptible to noise and must satisfy the high demand for signal-retrieval precision. Thus, a proper de-noising method should be selected to improve the inversion result. In this paper, we simultaneously decompose three signal pairs into different intrinsic mode functions (IMFs)...

Alternative Titles

Full title

Echo-Signal De-Noising of CO2-DIAL Based on the Ensemble Empirical Mode Decomposition

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_88aa5d2bfaae482781e712d569ca522c

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_88aa5d2bfaae482781e712d569ca522c

Other Identifiers

ISSN

2073-4433

E-ISSN

2073-4433

DOI

10.3390/atmos13091361

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