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Signal Processing of Microwave Imaging Brain Tumor Detection Using Superposition Windowing

Abstract: This paper discusses the selection of window function for signal processing in microwave imaging brain tumor detection. Most of the window functions are non-negative bell-shaped curves. This paper proposed a superposition windowing function for better time series data analyses and enhance...

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Main Authors: Chew, Kim Mey, Rubita, Sudirman, Norhudah, Seman, Yong, Ching Yee
Format: Article
Language:English
Published: Trans Tech Publications Ltd 2014
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://ir.unimas.my/id/eprint/45878/2/Signal%20Processing.pdf
http://ir.unimas.my/id/eprint/45878/
https://www.scientific.net/AMM.654.321
https://doi.org/10.4028/www.scientific.net/AMM.654.321
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spelling my.unimas.ir.458782024-08-29T07:08:26Z http://ir.unimas.my/id/eprint/45878/ Signal Processing of Microwave Imaging Brain Tumor Detection Using Superposition Windowing Chew, Kim Mey Rubita, Sudirman Norhudah, Seman Yong, Ching Yee QA75 Electronic computers. Computer science Abstract: This paper discusses the selection of window function for signal processing in microwave imaging brain tumor detection. Most of the window functions are non-negative bell-shaped curves. This paper proposed a superposition windowing function for better time series data analyses and enhancement. The performance of the selected five window functions (Hamming, Blackman-Harris, Parzen, Chebyshev and Bartlett-Hanning) and the proposed superposition window were compared and evaluated. The results show the superposition window function is potentially reduce the unwanted noise and preserve important information of the signals. Trans Tech Publications Ltd 2014 Article PeerReviewed text en http://ir.unimas.my/id/eprint/45878/2/Signal%20Processing.pdf Chew, Kim Mey and Rubita, Sudirman and Norhudah, Seman and Yong, Ching Yee (2014) Signal Processing of Microwave Imaging Brain Tumor Detection Using Superposition Windowing. Applied Mechanics and Materials, 654. pp. 321-326. ISSN 1662-7482 https://www.scientific.net/AMM.654.321 https://doi.org/10.4028/www.scientific.net/AMM.654.321
institution Universiti Malaysia Sarawak
building Centre for Academic Information Services (CAIS)
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sarawak
content_source UNIMAS Institutional Repository
url_provider http://ir.unimas.my/
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Chew, Kim Mey
Rubita, Sudirman
Norhudah, Seman
Yong, Ching Yee
Signal Processing of Microwave Imaging Brain Tumor Detection Using Superposition Windowing
description Abstract: This paper discusses the selection of window function for signal processing in microwave imaging brain tumor detection. Most of the window functions are non-negative bell-shaped curves. This paper proposed a superposition windowing function for better time series data analyses and enhancement. The performance of the selected five window functions (Hamming, Blackman-Harris, Parzen, Chebyshev and Bartlett-Hanning) and the proposed superposition window were compared and evaluated. The results show the superposition window function is potentially reduce the unwanted noise and preserve important information of the signals.
format Article
author Chew, Kim Mey
Rubita, Sudirman
Norhudah, Seman
Yong, Ching Yee
author_facet Chew, Kim Mey
Rubita, Sudirman
Norhudah, Seman
Yong, Ching Yee
author_sort Chew, Kim Mey
title Signal Processing of Microwave Imaging Brain Tumor Detection Using Superposition Windowing
title_short Signal Processing of Microwave Imaging Brain Tumor Detection Using Superposition Windowing
title_full Signal Processing of Microwave Imaging Brain Tumor Detection Using Superposition Windowing
title_fullStr Signal Processing of Microwave Imaging Brain Tumor Detection Using Superposition Windowing
title_full_unstemmed Signal Processing of Microwave Imaging Brain Tumor Detection Using Superposition Windowing
title_sort signal processing of microwave imaging brain tumor detection using superposition windowing
publisher Trans Tech Publications Ltd
publishDate 2014
url http://ir.unimas.my/id/eprint/45878/2/Signal%20Processing.pdf
http://ir.unimas.my/id/eprint/45878/
https://www.scientific.net/AMM.654.321
https://doi.org/10.4028/www.scientific.net/AMM.654.321
_version_ 1808981529110511616
score 13.244745

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