Wavelets in a problem of signal processing

dc.contributorAdamantinenses Integrated Universities-FAI SP
dc.contributorUniversidade Estadual Paulista (Unesp)
dc.contributorUniversidade Estadual de Mato Grosso do Sul (UEMS)
dc.date.accessioned2014-05-27T11:26:18Z
dc.date.available2014-05-27T11:26:18Z
dc.date.created2014-05-27T11:26:18Z
dc.date.issued2011-12-01
dc.identifierNovi Sad Journal of Mathematics, v. 41, n. 1, p. 11-20, 2011.
dc.identifier1450-5444
dc.identifierhttp://hdl.handle.net/11449/72988
dc.identifier2-s2.0-84858312980
dc.identifier9938409238183849
dc.description.abstractIn this work a new method is proposed for noise reduction in speech signals in the wavelet domain. The method for signal processing makes use of a transfer function, obtained as a polynomial combination of three processings, denominated operators. The proposed method has the objective of overcoming the deficiencies of the thresholding methods and the effective processing of speech corrupted by real noises. Using the method, two speech signals are processed, contaminated by white noise and colored noises. To verify the quality of the processed signals, two evaluation measures are used: signal to noise ratio (SNR) and perceptual evaluation of speech quality (PESQ).
dc.languageeng
dc.relationNovi Sad Journal of Mathematics
dc.relation0,151
dc.rightsAcesso aberto
dc.sourceScopus
dc.subjectDiscrete wavelet transform
dc.subjectNoise reduction
dc.subjectPolynomial combination
dc.titleWavelets in a problem of signal processing
dc.typeArtículos de revistas


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