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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2014
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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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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 |
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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 |
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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 |
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1808981529110511616 |
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13.19449 |