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Detection Schemes Based on Local Optimality and Sequential Criterion: 2. Performance Analysis  

Choi Sang Won (한국과학기술원 전자전산학과)
Kang Hyun Gu (한국과학기술원 전자전산학과)
Lee Jumi (한국과학기술원 전자전산학과)
Park So Ryoung (가톨릭대학교 정보통신전자공학부)
Kim Sun Yong (건국대학교 전자공학부)
Song Iickho (한국과학기술원 전자전산학과)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.30, no.10C, 2005 , pp. 1027-1035 More about this Journal
Abstract
In this paper, the performance of the sequential detection scheme proposed in Part 1 is compared with that of the fixed sample size (FSS) test, sequential probability ratio test (SPRT), and truncated sequential probability ratio test (TSPRT). The proposed sequential detection scheme requires less complexity and, in most cases, smaller sample size than the SPRT. It is also observed that the proposed sequential detection scheme has always lower complexity and smaller sample size than the FSS test and TSPRT.
Keywords
sequential detection; locally optimum detection; fixed sample size (FSS) test; seouential probability ratio test (SPRT); truncated seDuential probability ratio test (TSPRT);
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
연도 인용수 순위
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