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Coding of Biosignals Using the Discrete Wavelet Decomposition

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dc.contributor Universitat de Vic. Escola Politècnica Superior
dc.contributor Universitat de Vic. Grup de Recerca en Tecnologies Digitals
dc.contributor International Conference on Non-Linear Speech Processing NOLISP (2009 : Vic)
dc.contributor.author Reig Bolaño, Ramon
dc.contributor.author Martí i Puig, Pere
dc.contributor.author Solé-Casals, Jordi
dc.contributor.author Zaiats, Vladimir
dc.contributor.author Parisi Baradad, Vicenç
dc.date.accessioned 2013-01-16T13:10:59Z
dc.date.available 2013-01-16T13:10:59Z
dc.date.created 2010
dc.date.issued 2010
dc.identifier.citation Reig, R. [et al.]. "Coding of biosignals using the discrete wavelet decomposition". A: International conference on non-linear speech processing. "Advances in nonlinear speech processing : international conference on nonlinear speech processing, NOLISP 2009 : Vic, Spain, June 25-27, 2009 : revised selected papers". Vic: Springer, 2009, p. 144-151. ca_ES
dc.identifier.isbn 9783642115080
dc.identifier.uri http://hdl.handle.net/10854/1987
dc.description.abstract Abstract. Wavelet derived codification techniques are widespread used in image codifiers. The wavelet based compression methods are adequate for representing transients. In this paper we explore the use of the discrete wavelet transform analysis of biological signals in order to improve the data compression capability of data coders. The wavelet analysis provides a subband decomposition of any signal, and this enables a loss less 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 biosignals like medical signals EEG, ECG or discrete series. Experimental results based on wavelet coefficients quantification, show a lossless compression of 2: I in all kind of signals, with a fidelity, measured using PSNR, from 79dB to IOOdB, and lossy results preserving most of the signal waveform, with a compression ratio from 3: I to 5: I, with a fidelity from 25dB to 35 dB. ca_ES
dc.format application/pdf
dc.format.extent 8 p. ca_ES
dc.language.iso eng ca_ES
dc.publisher Springer ca_ES
dc.rights (c) Springer (The original publication is available at www.springerlink.com)
dc.rights Tots els drets reservats ca_ES
dc.subject.other Processament de la parla ca_ES
dc.title Coding of Biosignals Using the Discrete Wavelet Decomposition ca_ES
dc.type info:eu-repo/semantics/conferenceObject ca_ES
dc.rights.accesRights info:eu-repo/semantics/closedAccess ca_ES

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