Power spectral density estimation via wavelet decomposition

Research output: Contribution to journalArticle

24 Citations (Scopus)

Abstract

A soft decision algorithm for wavelet decomposition, in which a probability measure is assigned to each frequency band bearing energy, is presented. This soft decision algorithm is used as an approximate estimator of power spectral density. A staircase approximation of power spectral density (PSD) is obtained by plotting the 2m probabilities after an m-stage decomposition. Different wavelet filters are used for estimating the PSD of a speech segment. The type of the wavelet filter used can be selected as a compromise between accuracy and complexity.

Original languageEnglish
Pages (from-to)1055-1056
Number of pages2
JournalElectronics Letters
Volume40
Issue number17
DOIs
Publication statusPublished - Aug 19 2004

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Wavelet decomposition
Power spectral density
Bearings (structural)
Frequency bands

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Power spectral density estimation via wavelet decomposition. / Hossen, A.

In: Electronics Letters, Vol. 40, No. 17, 19.08.2004, p. 1055-1056.

Research output: Contribution to journalArticle

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