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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/72988
Title: 
Wavelets in a problem of signal processing
Author(s): 
Institution: 
  • Adamantinenses Integrated Universities-FAI SP
  • Universidade Estadual Paulista (UNESP)
  • Universidade Estadual de Mato Grosso do Sul (UEMS)
ISSN: 
1450-5444
Abstract: 
In 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).
Issue Date: 
1-Dec-2011
Citation: 
Novi Sad Journal of Mathematics, v. 41, n. 1, p. 11-20, 2011.
Time Duration: 
11-20
Keywords: 
  • Discrete wavelet transform
  • Noise reduction
  • Polynomial combination
Source: 
http://www.kurims.kyoto-u.ac.jp/EMIS/journals/NSJOM/Papers/41_1/NSJOM_41_1_011_020.pdf
URI: 
Access Rights: 
Acesso aberto
Type: 
outro
Source:
http://repositorio.unesp.br/handle/11449/72988
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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