Publication detail

Adaptive Thresholding of DFT Coefficients based on Probability Distribution of Additive Noise

RÁŠO, O. BALÍK, M.

Original Title

Adaptive Thresholding of DFT Coefficients based on Probability Distribution of Additive Noise

English Title

Adaptive Thresholding of DFT Coefficients based on Probability Distribution of Additive Noise

Type

journal article - other

Language

en

Original Abstract

The proposed method of adaptive thresholding uses probability distribution of additive noise signal, by which the input signal is corrupted. The additive noise with non-uniformly distributed power spectral density can be reduced via normalization process. The method is focused on musical signal corrupted by the noise with relative high input signal-to-noise ratio ranging between 20 and 30 dB. The method uses the thresholding of coefficients of Discrete Fourier transform (DFT). Minimal signal distortion should be introduced by this method. In conclusion the method is tested for noise reduction efficiency and size of degradation of processed signal.

English abstract

The proposed method of adaptive thresholding uses probability distribution of additive noise signal, by which the input signal is corrupted. The additive noise with non-uniformly distributed power spectral density can be reduced via normalization process. The method is focused on musical signal corrupted by the noise with relative high input signal-to-noise ratio ranging between 20 and 30 dB. The method uses the thresholding of coefficients of Discrete Fourier transform (DFT). Minimal signal distortion should be introduced by this method. In conclusion the method is tested for noise reduction efficiency and size of degradation of processed signal.

Keywords

Thresholding, Acoustic noise, Digital filters, Noise reduction, Discrete Fourier transform.

RIV year

2010

Released

24.03.2010

Pages from

390

Pages to

399

Pages count

10

BibTex


@article{BUT47309,
  author="Ondřej {Rášo} and Miroslav {Balík}",
  title="Adaptive Thresholding of DFT Coefficients based on Probability Distribution of Additive Noise",
  annote="The proposed method of adaptive thresholding uses probability distribution of additive noise signal, by which the input signal is corrupted. The additive noise with non-uniformly distributed power spectral density can be reduced via normalization process. The method is focused on musical signal corrupted by the noise with relative high input signal-to-noise ratio ranging between 20 and 30 dB. The method uses the thresholding of coefficients of Discrete Fourier transform (DFT). Minimal signal distortion should be introduced by this method. In conclusion the method is tested for noise reduction efficiency and size of degradation of processed signal.",
  chapter="47309",
  journal="WSEAS Transactions on Signal Processing",
  number="12",
  volume="2009",
  year="2010",
  month="march",
  pages="390--399",
  type="journal article - other"
}