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hal.structure.identifierInstitut de Recherche de l'Ecole Navale [IRENAV]
dc.contributor.authorKHALDI, Kais
hal.structure.identifierInstitut de Recherche de l'Ecole Navale [IRENAV]
dc.contributor.authorBOUDRAA, Abdel-Ouahab
hal.structure.identifierLaboratoire d'Analyse, Topologie, Probabilités [LATP]
dc.contributor.authorTORRÉSANI, Bruno
hal.structure.identifierDépartement Signal et Communications [SC]
hal.structure.identifierLab-STICC_TB_CID_TOMS
dc.contributor.authorCHONAVEL, Thierry
dc.date.accessioned2021-05-14T10:03:34Z
dc.date.available2021-05-14T10:03:34Z
dc.date.created2012
dc.date.issued2013
dc.identifier.issn1863-1703
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/78416
dc.description.abstractEnIn this paper a new audio coding scheme combining the Hilbert transform and the Empirical Mode Decomposition (EMD) is introduced. Based on the EMD, the coding is fully data-driven approach. Audio signal is first decomposed adaptively, by EMD, into intrinsic oscillatory components called Intrinsic Mode Functions (IMFs). The key idea of this work is to code both instantaneous amplitude (IA) and instantaneous frequency (IF), of the extracted IMFs, calculated using Hilbert transform. Since IA (resp. IF) is strongly correlated, it is encoded via a linear prediction technique. The decoder recovers the original signal by superposition of the demodulated IMFs. The proposed approach is applied to audio signals, and the results are compared to those obtained by AAC (Advanced Audio Coding) and MP3 codecs, and wavelets based compression. Coding performances are evaluated using the bit rate, Objective Difference Grade (ODG) and Noise to Mask Ratio (NMR) measures. Based on the analyzed audio signals, overall, our coding scheme performs better than wavelet compression, AAC and MP3 codecs. Results also show that this new scheme has good coding performances without significant perceptual distortion, resulting in an ODG in range [-1,0] and large negative NMR values.
dc.language.isoen
dc.publisherSpringer Verlag
dc.subject.enHilbert-Huang transform
dc.subject.enHilbert transform
dc.subject.enIntrinsic mode function
dc.subject.enLinear prediction
dc.subject.enAudio coding
dc.subject.enEmpirical mode decomposition
dc.subject.enLinear prediction.
dc.title.enHHT-based audio coding
dc.typeArticle de revue
dc.identifier.doi10.1007/s11760-013-0433-6
dc.subject.halSciences de l'ingénieur [physics]/Traitement du signal et de l'image
dc.subject.halInformatique [cs]/Traitement du signal et de l'image
bordeaux.journalSignal, Image and Video Processing
bordeaux.page1-9
bordeaux.volume7
bordeaux.hal.laboratoriesInstitut de Mécanique et d’Ingénierie de Bordeaux (I2M) - UMR 5295*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.institutionINRAE
bordeaux.institutionArts et Métiers
bordeaux.peerReviewedoui
hal.identifierhal-00818033
hal.version1
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-00818033v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Signal,%20Image%20and%20Video%20Processing&rft.date=2013&rft.volume=7&rft.spage=1-9&rft.epage=1-9&rft.eissn=1863-1703&rft.issn=1863-1703&rft.au=KHALDI,%20Kais&BOUDRAA,%20Abdel-Ouahab&TORR%C3%89SANI,%20Bruno&CHONAVEL,%20Thierry&rft.genre=article


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