Wavelets: teoria i aplicacions al tractament de senyals

dc.contributor.advisorSoria de Diego, F. Javier
dc.contributor.authorPereira Sánchez, Ivan
dc.date.accessioned2019-01-21T10:10:41Z
dc.date.available2019-01-21T10:10:41Z
dc.date.issued2018-06-27
dc.descriptionTreballs Finals de Grau de Matemàtiques, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2018, Director: F. Javier Soria de Diegoca
dc.description.abstract[en] The present work is aimed to investigate the Wavelets. They may be argued to appear for the first time at the beginning of the 20th century, when Alfréd Haar presented what is currently known as Haar’s base, which will be covered in the third chapter. However, the Wavelets as we know them do not appear until the eighties, when Pierre Goupillaud, Alex Grosman and Jean Morlet carry out the first study using the current terminology. After that, Jan Olov-Strömberg investigated the discrete case, and further important insights were posed by mathematicians such as Ingrid Daubechies and Yves Meyer, who will be mentioned in chapter four. One of the main sources of inspiration to choose this work was the diversity of applications which this theory has displayed both in engineering and computing areas (i.e. the application of the discrete case), and in many physics areas, where it is substituting Fourier’s transform due to its affordances concerning the analysis of time and frequency signal. Furthermore, Wavelets become an essential signals compression tool, as it will be suggested in chapter five.ca
dc.format.extent73 p.
dc.format.mimetypeapplication/pdf
dc.identifier.urihttps://hdl.handle.net/2445/127452
dc.language.isocatca
dc.rightscc-by-nc-nd (c) Ivan Pereira Sánchez, 2018
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.sourceTreballs Finals de Grau (TFG) - Matemàtiques
dc.subject.classificationOndetes (Matemàtica)ca
dc.subject.classificationTreballs de fi de grau
dc.subject.classificationAnàlisi harmònicaca
dc.subject.classificationProcessament de senyalsca
dc.subject.otherWavelets (Mathematics)en
dc.subject.otherBachelor's theses
dc.subject.otherHarmonic analysisen
dc.subject.otherSignal processingen
dc.titleWavelets: teoria i aplicacions al tractament de senyalsca
dc.typeinfo:eu-repo/semantics/bachelorThesisca

Fitxers

Paquet original

Mostrant 1 - 1 de 1
Carregant...
Miniatura
Nom:
memoria.pdf
Mida:
771.36 KB
Format:
Adobe Portable Document Format
Descripció:
Memòria