• The Journal of the Acoustical Society of Korea
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• v.12 no.3
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• pp.49-55
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• 1993

이 논문에서는 알려진 신호를 검파하는 국소 최적 퍼지 검파기의 검정 통계량의 확률 분포를 정확한 방법과 근사적 방법으로 얻었다. 또한, 컴퓨터 모의 실험으로 국소 최적 퍼지 검파기의 성능 특성과 국소 최적 검파기의 성능 특성을 견주어 보았다. 마지막으로 국소 최적 퍼지 검파기의 기본적인 기능적 특성에 대해서도 알아보았다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.16 no.3
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• pp.219-231
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• 1991

In this paper, various results on Iocally optimum detection of signals are reviewed concisely, which are easlily apphcable to weak signal detection problems. In addition, locally optmum rank detection schemes for weak signals are reviewed, which are nonparametric counterparts of the locally optimum detecturs. Examples of practical applications, problems in implementation dnd performance characteristecs of the locally optimum detectors are also discussed, Finally, a fuzzy extension of the generalized Neyman Pearson lemma is briefly discussd.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.16 no.5
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• pp.445-448
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• 1991

The two-sample locally optimum rank detection scheme is obtained which uses rank and sign statistics for detection of random signals in additive noise. It is shown that the detector is similar in structure to the locally optimum detector for random signals and to the one-sample locally optimum rank detector for random signals. It is also shown that the detector is a generalization of the two-sample locally optimum rank detector for known signals. In addition , the problem of two-sample locally optimum rank detection of random signals in multiple input case is considered briefly.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.28 no.4C
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• pp.374-378
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• 2003

The asymptotic performance of the two-sample locally optimum rank detector for random signals buried in signal-dependent noise and additive noise is consigered in this paper. It is shown that the locally optimum rank detector, a nonparametric detector, has reasonable asymptotic performance for a class of correlated random signals, compared with the locally optimum detector. It is noteworthy that the the two-sample locally optimum rank detector perform almost the same with the one-sample locally optimum rank detector.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.26 no.5B
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• pp.599-607
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• 2001

이 논문에서는 부호와 순위를 바탕으로 한 비모수 검파기를 쓰는 직접수열 대역확산 시스템의 의사잡음 부호획득을 다루었다. 먼저 국소 최적 순위 검파기의 검정통계량을 얻고, 점근 점수 함수를 쓰는 국소 준최적 순위 검파기와 변형 부호순위 검파기의 검정통계량을 제외한다. 제안한 국소 준최적 순위 검파기와 변형 부호순위 검파기를 쓴 한 우물기법과 이제까지의 제곱합 검파기와 변형 부호 검파기를 쓴 것을 견주어 본다. 제안한 국소 준최적 순위 검파기와 변형 부호순위 검파기의 성능이 이제까지의 변형 부호 검파기의 성능보다 2-3dB쯤 낮고, 거의 최적임을 모의실험을 통해 확인하였다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.35 no.8C
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• pp.709-712
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• 2010

In this paper, the two sample locally optimum rank detector is obtained in the weakly dependent noise with non-zero temporal correlation between noise observations. The test statistic of the locally optimum rank detector is derived from the Neyman-Pearson lemma suitable for the two sample observation models, where it is assumed that reference observations are available in addition to regular observations. Two-sample locally optimum rank detecter shows the same performance with the one-sample locally optimum rank detector asymptotically. The structure of the two-sample rank detector is simpler than that of the one-sample rank detector because the sign statistic is not processed separately.

• The Journal of the Acoustical Society of Korea
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• v.12 no.2E
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• pp.19-26
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• 1993

이 논문에서는 가산성 잡음과 신호 의존성 잡음이 바라는 신호와 섞일 때, 약한 복합신호를 검파하는 국소 최적 검파기의 검정 통계량을 얻었다. 순가산성 잡음 분만 아니라 비가산성 잡음도 고려하기 위하여 일반화된 관측 모델을 사용하였다. 알려진 신호, 확률 신호, 그리고 신호 의존성 잡음 성분의 상대적인 크기의 모든 경우에 대하여 국소 최적 검정통계량을 얻었다. 또한, 국소 최적 검파기의 얼개를 그림으로 나타냈다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.13 no.3
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• pp.270-276
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• 1988

The problem of detecting weak random signals is addressed in a generalized observation model incorporating multiplicative noised which has recently been introduced. It is shown that the locally optimum random-signal detectors in the multiplicative-noise model are interseting generalizations of those which would be obtained in the purely-additive noise model. Examples of explicits results for the locally optimum detector test statistics are given for two typical cases of well-known pdfs.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.23 no.4
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• pp.796-804
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• 1998

Multiplicative noise is known to be useful in modeling multipath propagation, which is crucial in mobile communication systems analysis. In this paper, nonparametric detection of weak random signals in multiplicative noise is considered. The locally optimum detector based on signs and ranks of observations isderived for good weak-signal detection performance under any noise probability density function. the detector has similarities to the locally optimum detector for random signals in multiplicative noise. It is shown that the nonparametric detector asymptotically hs almost the same performance as the locally optimum detector.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.16 no.11
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• pp.1117-1124
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• 1991

Locally optimum detectors are useful for detection of signals with small strength, but it is often difficult to implement the exact form of the locally optimum nonlinearity. In this paper, a suboptimum quantizer detection system in which the locally optimum nonlinearity is replaced by a uniform quantizer and a coder is proposed. The proposed system does not require iteration to obtain the quantizer parameters and is easily implementable.