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Performance analysis of multitaper s...

Skoro Kaskarovska, Violeta.

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Performance analysis of multitaper spectrum estimation.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Performance analysis of multitaper spectrum estimation./
作者:	Skoro Kaskarovska, Violeta.
面頁冊數:	88 p.
附註:	Source: Masters Abstracts International, Volume: 43-06, page: 2362.
Contained By:	Masters Abstracts International43-06.
標題:	Engineering, Electronics and Electrical. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1425990
ISBN:	9780542052767

Performance analysis of multitaper spectrum estimation.
Skoro Kaskarovska, Violeta.

Performance analysis of multitaper spectrum estimation. - 88 p.

Source: Masters Abstracts International, Volume: 43-06, page: 2362.

Thesis (M.S.)--Florida Atlantic University, 2005.

We characterize the Multitaper Spectral Estimation method as a tool for stationary signal analysis. We compare its performance to the conventional periodogram, the parametric autoregressive and multitaper autoregressive spectral estimates. We analyze single and two frequency sinusoids with additive Gaussian white noise and autoregressive processes of orders 2, 4 and 24. We extend its application to non-stationary signals and develop the multitaper spectrogram. We test the spectrograms with simulated non-stationary autoregressive process of order 2 as the magnitude of its poles vary between 0 and 1 and the angle of the poles vary between 0 and pi. Our results show that the multitaper spectral estimate can be parameterized and is more accurate than others tested for non-sinusoidal signals. We also show applications to aero-acoustic data analysis.

ISBN: 9780542052767Subjects--Topical Terms:

626636
Engineering, Electronics and Electrical.

Performance analysis of multitaper spectrum estimation.
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100 1 $a Skoro Kaskarovska, Violeta. $3 1913090
245 1 0 $a Performance analysis of multitaper spectrum estimation.
300 $a 88 p.
500 $a Source: Masters Abstracts International, Volume: 43-06, page: 2362.
500 $a Adviser: Nurgun Erdol.
502 $a Thesis (M.S.)--Florida Atlantic University, 2005.
520 $a We characterize the Multitaper Spectral Estimation method as a tool for stationary signal analysis. We compare its performance to the conventional periodogram, the parametric autoregressive and multitaper autoregressive spectral estimates. We analyze single and two frequency sinusoids with additive Gaussian white noise and autoregressive processes of orders 2, 4 and 24. We extend its application to non-stationary signals and develop the multitaper spectrogram. We test the spectrograms with simulated non-stationary autoregressive process of order 2 as the magnitude of its poles vary between 0 and 1 and the angle of the poles vary between 0 and pi. Our results show that the multitaper spectral estimate can be parameterized and is more accurate than others tested for non-sinusoidal signals. We also show applications to aero-acoustic data analysis.
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790 1 0 $a Erdol, Nurgun, $e advisor
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