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dc.contributor.authorReig Bolano, Ramon
dc.contributor.authorMarti Puig, Pere
dc.contributor.authorSolé-Casals, Jordi
dc.contributor.authorParisi Baradad, Vicenç
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria Electrònica
dc.date.accessioned2012-01-05T08:23:26Z
dc.date.available2012-01-05T08:23:26Z
dc.date.created2009
dc.date.issued2009
dc.identifier.citationReig, R. [et al.]. Data compression of natural signals based on discrete wavelet transform analysis. A: International conference on non-linear speech processing. "An ISCA tutorial and research workshop on non-linear speech processing : NOLISP 09 : Non-Linear Speech Processing 2009, programme and abstracts, Vic, june 25-27, 2009". Vic: 2009.
dc.identifier.isbn978-84-936186-8-1
dc.identifier.urihttp://hdl.handle.net/2117/14411
dc.description.abstractIn this paper we explore the use of the discrete wavelet transform analysis of an arbitrary signal in order to improve the data compression capability of data coders. Wavelet analysis is widespread used in image codifiers, for example in JPEG2000. The wavelet compression methods are adequate for representing transients, such as percussion sounds in audio, or high-frequency components in two-dimensional images, for example an image of stars on a night sky. The wavelet analysis provides a subband decomposition of any arbitrary signal, and this enables a lossless or a lossy implementation with the same architecture. The signals could range from speech to sounds or music, but the approach is more orientated to other natural signals like arbitrary discrete series, EEG or ECG. Experimental results based on coefficients quantification, show a loss less compression of 2: I in all kind of signals, and lossy results preserving most of the signal waveform of about 5: I to 3: I.
dc.language.isoeng
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telemàtica i xarxes d'ordinadors::Trànsit de dades
dc.subject.lcshData compression (Computer science)
dc.subject.lcshWavelets (Mathematics)--Data processing
dc.titleData compression of natural signals based on discrete wavelet transform analysis
dc.typeConference report
dc.subject.lemacTren d'ones (Matemàtica)
dc.subject.lemacDades -- Compressió (Informàtica)
dc.subject.lemacWavelets (Matemàtica)
dc.subject.lemacOnes (Matemàtica)
dc.identifier.dlB-29.358-2009
dc.description.peerreviewedPeer Reviewed
dc.rights.accessRestricted access - publisher's policy
drac.iddocument8786228
dc.description.versionPostprint (published version)
upcommons.citation.authorReig, R.; Marti, P.; Sole, J.; Parisi, V.
upcommons.citation.contributorInternational conference on non-linear speech processing
upcommons.citation.pubplaceVic
upcommons.citation.publishedtrue
upcommons.citation.publicationNameAn ISCA tutorial and research workshop on non-linear speech processing : NOLISP 09 : Non-Linear Speech Processing 2009, programme and abstracts, Vic, june 25-27, 2009


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