Robust Signal Detection Using Order Statistic Prefilters
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概要
- 論文の詳細を見る
We propose a robust detection scheme by employing an order statistic filter as a preprocessor of the input signal. For ease of design, the variance of the order statistic filtered output is modeled by proposing an approximate upper bound. The detector is analytically designed using a fixed sample size (FSS) test scheme. The performance of the proposed detector is compared to that of other robust detectors in terms of the sample size required for given false alarm and miss detection probabilities. Finally, analytical results are verified by computer simulation.
- 社団法人電子情報通信学会の論文
- 1998-03-25
著者
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Kim Seung-jun
Department Of Biochemistry And Molecular Biology Hanyang University & Genocheck Co. Ltd.
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Kim Seung-jun
The School Of Electrical Engineering Seoul National University
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Kim S‐j
Department Of Biochemistry And Molecular Biology Hanyang University & Genocheck Co. Ltd.
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Lee Y‐h
Seoul National Univ. Seoul Kor
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Kim S‐j
Seoul National Univ. Suwon Kor
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LEE Yong-Hwan
the School of Electrical Engineering and Computer Science, Seoul National University
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Lee Yong-hwan
The School Of Electrical Engineering & Computer Science Seoul National University
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