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
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Abstract
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.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Brain, Microwave Imaging, Superposition Window, Tumor Detection, Window Function. |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology Faculties, Institutes, Centres > Faculty of Computer Science and Information Technology Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology |
| Depositing User: | Kim Mey |
| Date Deposited: | 29 Aug 2024 07:08 |
| Last Modified: | 29 Aug 2024 07:08 |
| URI: | http://ir.unimas.my/id/eprint/45878 |
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