Aviso: para depositar documentos, por favor, inicia sesión e identifícate con tu cuenta de correo institucional de la UCM con el botón MI CUENTA UCM. No emplees la opción AUTENTICACIÓN CON CONTRASEÑA
 

Reduction of noise of large amplitude through adaptive neighbourhoods

dc.contributor.authorMera Rivas, María Eugenia
dc.contributor.authorMorán Cabré, Manuel
dc.date.accessioned2023-06-20T12:44:15Z
dc.date.available2023-06-20T12:44:15Z
dc.date.issued2009
dc.description.abstractWe propose a noise reduction algorithm based on adaptive neighbourhood selection able to obtain high levels of noise reduction for chaotic vector time series corrupted by observational noises with a noise to signal ratio of up to 300%.
dc.description.departmentDepto. de Análisis Económico y Economía Cuantitativa
dc.description.facultyFac. de Ciencias Económicas y Empresariales
dc.description.refereedTRUE
dc.description.sponsorshipMinisterio de Ciencia e Innovación (MICINN)
dc.description.statuspub
dc.eprint.idhttps://eprints.ucm.es/id/eprint/58887
dc.identifier.issn1539-3755
dc.identifier.officialurlhttps://doi.org/10.1103/PhysRevE.80.016207
dc.identifier.urihttps://hdl.handle.net/20.500.14352/52382
dc.issue.number016207
dc.journal.titlePhysical Review E - Statistical, Nonlinear, and Soft Matter Physics
dc.language.isoeng
dc.page.final8
dc.page.initial1
dc.publisherAmerican Physical Society
dc.relation.projectIDMTM2006-023721.
dc.rights.accessRightsopen access
dc.subject.ucmMatemáticas (Matemáticas)
dc.subject.unesco12 Matemáticas
dc.titleReduction of noise of large amplitude through adaptive neighbourhoods
dc.typejournal article
dc.volume.number80
dspace.entity.typePublication
relation.isAuthorOfPublication71245121-5334-43ae-92e3-eb84a42790e8
relation.isAuthorOfPublication36e295dc-70b7-4ede-868c-a83357a04413
relation.isAuthorOfPublication.latestForDiscovery36e295dc-70b7-4ede-868c-a83357a04413

Download

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
mera-moran(physical-reviewE).pdf
Size:
484.7 KB
Format:
Adobe Portable Document Format

Collections