Human Brain Microwave Imaging Signal Processing: Frequency Domain (S-parameters) to Time Domain Conversion
The paper presents the microwave signal processing method using MATLAB based on the result of microwave imaging system simulation developed using Computer Simulation Technology (CST). The simulation system contains a transmitting/receiving antenna, human brain and a tumor inside the brain model. The...
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2013
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Online Access: | http://ir.unimas.my/id/eprint/45881/2/ENG_2013072610592911.pdf http://ir.unimas.my/id/eprint/45881/ https://www.scirp.org/journal/paperinformation?paperid=35207 |
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my.unimas.ir-458812024-11-01T22:41:02Z http://ir.unimas.my/id/eprint/45881/ Human Brain Microwave Imaging Signal Processing: Frequency Domain (S-parameters) to Time Domain Conversion Chew, Kim Mey Rubita, Sudirman Norhudah, Seman Yong, Ching Yee QA75 Electronic computers. Computer science The paper presents the microwave signal processing method using MATLAB based on the result of microwave imaging system simulation developed using Computer Simulation Technology (CST). The simulation system contains a transmitting/receiving antenna, human brain and a tumor inside the brain model. The source signal, microwave signal operates from 1 to 10 GHz. The generated scattering parameters (S-parameters) are in frequency domain form. This paper describes in detail regarding the signal conversion from frequency domain to time domain through proposed Inverse Fast Fourier Transform (IFFT) method as well as the noise filtering process. Peaks detection process was performed in order to identify the time delay of the reflection points at different Y-axis positions. Scientific Research 2013-05 Article PeerReviewed text en http://ir.unimas.my/id/eprint/45881/2/ENG_2013072610592911.pdf Chew, Kim Mey and Rubita, Sudirman and Norhudah, Seman and Yong, Ching Yee (2013) Human Brain Microwave Imaging Signal Processing: Frequency Domain (S-parameters) to Time Domain Conversion. Engineering, 5 (5B). pp. 31-36. ISSN 1947-394X https://www.scirp.org/journal/paperinformation?paperid=35207 DOI: 10.4236/eng.2013.55B007 |
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QA75 Electronic computers. Computer science Chew, Kim Mey Rubita, Sudirman Norhudah, Seman Yong, Ching Yee Human Brain Microwave Imaging Signal Processing: Frequency Domain (S-parameters) to Time Domain Conversion |
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The paper presents the microwave signal processing method using MATLAB based on the result of microwave imaging system simulation developed using Computer Simulation Technology (CST). The simulation system contains a transmitting/receiving antenna, human brain and a tumor inside the brain model. The source signal, microwave signal operates from 1 to 10 GHz. The generated scattering parameters (S-parameters) are in frequency domain form. This paper describes in detail regarding the signal conversion from frequency domain to time domain through proposed Inverse Fast Fourier Transform (IFFT) method as well as the noise filtering process. Peaks detection process was performed in order to identify the time delay of the reflection points at different Y-axis positions. |
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 |
Human Brain Microwave Imaging Signal Processing: Frequency Domain (S-parameters) to Time Domain Conversion |
title_short |
Human Brain Microwave Imaging Signal Processing: Frequency Domain (S-parameters) to Time Domain Conversion |
title_full |
Human Brain Microwave Imaging Signal Processing: Frequency Domain (S-parameters) to Time Domain Conversion |
title_fullStr |
Human Brain Microwave Imaging Signal Processing: Frequency Domain (S-parameters) to Time Domain Conversion |
title_full_unstemmed |
Human Brain Microwave Imaging Signal Processing: Frequency Domain (S-parameters) to Time Domain Conversion |
title_sort |
human brain microwave imaging signal processing: frequency domain (s-parameters) to time domain conversion |
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Scientific Research |
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2013 |
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http://ir.unimas.my/id/eprint/45881/2/ENG_2013072610592911.pdf http://ir.unimas.my/id/eprint/45881/ https://www.scirp.org/journal/paperinformation?paperid=35207 |
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