Publication detail

Estimation of Power Spectral Density using Wavelet Thresholding

SYSEL, P. MIŠUREC, J.

Original Title

Estimation of Power Spectral Density using Wavelet Thresholding

Type

journal article in Web of Science

Language

English

Original Abstract

The basic problem of the single-channel speech enhancement methods lies in a rapid and precise method for estimating noise, on which the quality of enhancement method depends. The paper describes a new method of power spectral density estimation using wavelet transform in spectral domain. To reduce periodogram variance the proposed method use the procedure of thresholding the wavelet coefficients of a periodogram. Then the smoothed estimate of power spectral density of noise is obtained using the inverse discrete wavelet transform.

Keywords

speech enhancement, power spectral density, periodogram, wavelet thresholding

Authors

SYSEL, P.; MIŠUREC, J.

RIV year

2008

Released

17. 12. 2008

Publisher

WSEAS Press

Location

Puerto De La Cruz, Spain

ISBN

1790-5117

Periodical

WSEAS Applied Informatics & Communications

Year of study

2008

Number

1

State

Hellenic Republic

Pages from

207

Pages to

211

Pages count

5

BibTex

@article{BUT49594,
  author="Petr {Sysel} and Jiří {Mišurec}",
  title="Estimation of Power Spectral Density using Wavelet Thresholding",
  journal="WSEAS Applied Informatics & Communications",
  year="2008",
  volume="2008",
  number="1",
  pages="207--211",
  issn="1790-5117"
}