Signal Processing of Microwave Imaging Brain Tumor Detection Using Superposition Windowing

被引：3

作者：

Chew, Kim Mey ^{[1
]}

Sudirman, Rubita ^{[1
]}

Seman, Norhudah ^{[1
]}

Yong, Ching Yee ^{[1
]}

机构：

[1] Univ Teknol Malaysia, Fac Elect Engn, Skudai 81310, Johor, Malaysia

来源：

MECHANICAL AND ELECTRONICS ENGINEERING VI | 2014年 / 654卷

关键词：

Brain; Tumor detection; Microwave imaging; Window function; Superposition window;

D O I：

10.4028/www.scientific.net/AMM.654.321

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页码：321 / 326

页数：6

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