Window selection for the multi-window periodogram spectrum estimation and spectrogram time-frequency analysis

Window selection for the multi-window periodogram spectrum estimation and spectrogram time-frequency analysis

The concept of multi-window or multi-taper spectral estimation was discussed in [1]-[5]. This is performed by averaging the spectrum of the signal modulated with any set of orthogonal windows [1], such as minimum bias windows, sinusoidal windows and the sequence of discrete prolate spheroids or t...

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Main Authors: Tan, Jo Lynn, Sha’ameri, Ahmad Zuri
Format: Book Section
Published: Penerbit UTM 2007
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://eprints.utm.my/id/eprint/14178/
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Institution: Universiti Teknologi Malaysia
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spelling my.utm.141782011-08-18T09:20:47Z http://eprints.utm.my/id/eprint/14178/ Window selection for the multi-window periodogram spectrum estimation and spectrogram time-frequency analysis Tan, Jo Lynn Sha’ameri, Ahmad Zuri TK Electrical engineering. Electronics Nuclear engineering The concept of multi-window or multi-taper spectral estimation was discussed in [1]-[5]. This is performed by averaging the spectrum of the signal modulated with any set of orthogonal windows [1], such as minimum bias windows, sinusoidal windows and the sequence of discrete prolate spheroids or the Slepian sequence [2]. The Slepian sequence is the most common orthogonal set of windows used in the spectral analysis. It was first introduced in [3] where it is applied to stationary spectral analysis. It is shown in [4] that this technique have better performance in terms of variance, leakage and resolution as compared to the weighted overlapped segment averaging method (Welch periodogram). Penerbit UTM 2007 Book Section PeerReviewed Tan, Jo Lynn and Sha’ameri, Ahmad Zuri (2007) Window selection for the multi-window periodogram spectrum estimation and spectrogram time-frequency analysis. In: Advances In Digital Signal Processing Applications. Penerbit UTM , Johor, pp. 47-67. ISBN 978-983-52-0652-8
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Tan, Jo Lynn
Sha’ameri, Ahmad Zuri
Window selection for the multi-window periodogram spectrum estimation and spectrogram time-frequency analysis
description The concept of multi-window or multi-taper spectral estimation was discussed in [1]-[5]. This is performed by averaging the spectrum of the signal modulated with any set of orthogonal windows [1], such as minimum bias windows, sinusoidal windows and the sequence of discrete prolate spheroids or the Slepian sequence [2]. The Slepian sequence is the most common orthogonal set of windows used in the spectral analysis. It was first introduced in [3] where it is applied to stationary spectral analysis. It is shown in [4] that this technique have better performance in terms of variance, leakage and resolution as compared to the weighted overlapped segment averaging method (Welch periodogram).
format Book Section
author Tan, Jo Lynn
Sha’ameri, Ahmad Zuri
author_facet Tan, Jo Lynn
Sha’ameri, Ahmad Zuri
author_sort Tan, Jo Lynn
title Window selection for the multi-window periodogram spectrum estimation and spectrogram time-frequency analysis
title_short Window selection for the multi-window periodogram spectrum estimation and spectrogram time-frequency analysis
title_full Window selection for the multi-window periodogram spectrum estimation and spectrogram time-frequency analysis
title_fullStr Window selection for the multi-window periodogram spectrum estimation and spectrogram time-frequency analysis
title_full_unstemmed Window selection for the multi-window periodogram spectrum estimation and spectrogram time-frequency analysis
title_sort window selection for the multi-window periodogram spectrum estimation and spectrogram time-frequency analysis
publisher Penerbit UTM
publishDate 2007
url http://eprints.utm.my/id/eprint/14178/
_version_ 1643646344911388672

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