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Analysis of institutional authors

Lacruz Alcaraz, RamonAuthorGarcia-Fogeda, PabloAuthor

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May 31, 2021
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Signal Noise Filtering Using Wavelet Coefficient Temporal Correlation Techniques

Publicated to:Aip Conference Proceedings. 2293 (200012): 200012-200012 - 2020-01-01 2293(200012), DOI: 10.1063/5.0028948

Authors: Lacruz Alcaraz, Ramon; Garcia-Fogeda, Pablo;

Affiliations

‎ Univ Politecn Madrid, Plaza Cardenal Cisneros 3, Madrid 28040, Spain - Author

Abstract

The objective of this work is to develop a robust procedure to analyze flight data by wavelet transforms, eliminate or reduce the noise of the data and to use the filtered data to determine the aeroelastic characteristics of the aircraft such that flutter condition, limit cycle oscillations and the aircraft dynamic model from the filtered measured data. Time and frequency analysis, by the use of the Continuous Wavelet transform, is used to filter noise in signals while retaining possible nonlinear terms which might otherwise be lost. Under some basic assumptions as to the nature of noise affecting signals, a technique based on temporal correlation is implemented to reduce the presence of noise by correlating wavelet coefficients. Cleaned reconstructed time domain signals are used to compute dynamic properties of systems.

Keywords

Astronomia / físicaBiodiversidadeBiotecnologíaCiência da computaçãoCiências agrárias iCiências ambientaisCiências biológicas iCiências biológicas iiCiências biológicas iiiEngenharias iEngenharias iiEngenharias iiiEngenharias ivFarmaciaGeneral physics and astronomyGeociênciasGeografíaInterdisciplinarMatemática / probabilidade e estatísticaMateriaisMedicina iiMedicina veterinariaOdontologíaPhysics and astronomy (all)Physics and astronomy (miscellaneous)Química

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Aip Conference Proceedings, Q3 Agency Scopus (SJR), its regional focus and specialization in Physics and Astronomy (Miscellaneous), give it significant recognition in a specific niche of scientific knowledge at an international level.

Independientemente del impacto esperado determinado por el canal de difusión, es importante destacar el impacto real observado de la propia aportación.

Según las diferentes agencias de indexación, el número de citas acumuladas por esta publicación hasta la fecha 2025-07-08:

  • Open Alex: 4
  • Scopus: 2

Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2025-07-08:

  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 2 (PlumX).

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

  • The work has been submitted to a journal whose editorial policy allows open Open Access publication.

Leadership analysis of institutional authors

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (LACRUZ ALCARAZ, RAMON ALVARO) and Last Author (GARCIA-FOGEDA NUÑEZ, PABLO).