• Title/Summary/Keyword: 문턱값 최적화

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(Suboptimal Detection Thresholds for Tracking in Clutter) (클러터 환경에서의 표적 추적을 위한 준최적의 검출 문턱값)

  • Jeong, Yeong-Heon;Sin, Han-Seop
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.39 no.2
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    • pp.176-181
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    • 2002
  • In this paper, we consider the optimal control of detection threshold to minimize the conditional expectation of mean-square state estimation error for a probabilistic data association (PDA) filter. Earlier works on this problem involved the cumbersome graphical optimization algorithm or time-consuming numerical optimization algorithm. Using the numerical approximation of information reduction factor, we obtained the suboptimal detection threshold in a closed-form. This results are very useful for real- time implementation.

Optimization of the Validation Region for Target Tracking Using an Adaptive Detection Threshold (탐지문턱값 적응기법을 이용한 표적추적 유효화 영역의 최적화)

  • Choe, Seong-Rin;Kim, Yong-Sik;Hong, Geum-Sik
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.30 no.2
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    • pp.75-82
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    • 2002
  • It is useful to detect the tracking error with an optimal view in the presence of measurement origin uncertainty. In this paper, after the investigation of the targer error dependent on the detection threshold as well as the detection and false alarm probabilities in a clutter environment, a new algorothm that optimizes the threshold of validation region for target trackinf is proposed. The performance of the algorithm is demonstrated through computer simulations.

Recursive Algorithm for Post Processing in Channel Estimation (채널 추정에서 포스트 프로세싱을 위한 순환 알고리즘)

  • Park, Jungjun;Lee, Jinyong;Lim, Taemin;Kim, Younglok
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2010.11a
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    • pp.171-174
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    • 2010
  • 무선 통신 환경에서 간섭과 잡음으로 인한 채널 추정 오류는 데이터 검출을 위한 등화 성능을 현저하게 저하시킨다. 포스트 프로세싱은 채널 추정 이후에 이러한 추정 오류를 줄이기 위한 작업이며, 여기서는 소수의 채널 계수만이 무선 채널의 다중 경로에 의한 신호 성분을 갖는 무선 채널의 특성을 이용하여 신호 성분을 포함하지 않은 계수를 선별하고 이를 제거함으로써 채널 추정 오류를 줄이는 방법을 위한 순환 알고리즘을 제안한다. 기존 알고리즘은 잡음 분산을 기준으로 문턱값을 결정하고, 그 문턱 값보다 작은 계수는 신호성분을 포함하지 않는다고 간주하여 이를 제거하였다. 제안된 순환 알고리즘은 잡음 분산의 추정치를 반복이 진행됨에 따라 갱신하여 이를 기준으로 구한 문턱값을 이용한 포스트 프로세싱을 반복함으로써 채널 추정 성능을 개선시킨다. 제안된 방법은 기존의 방법과 유사한 복잡도를 갖는 반복 횟수를 적용하는 경우에 월등히 성능이 개선되며, 특히 반복 횟수를 조절함으로써 처리 시간과 채널 추정 성능을 최적화할 수 있는 유연성을 갖고 있다.

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A Study of the Threshold value Optimization (문턱치값 최적화 연구)

  • Seo, Jung-Ick;Park, Eun-kyoo
    • Journal of the Korea society of information convergence
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    • v.7 no.2
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    • pp.7-12
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    • 2014
  • Many filters are made in order to dectect the accurate signal. The performance of the filter is evaluated as to remove the noise effectively. It is necessary to determine the threshold value for the accurate evaluation of the filter effectively. In this study, we investigated the optimization of the threshold value. It was used for the triangular wave signal and the power supply noise. SNR change according to the number of samples was studied. As the number of samples increases, SNR saw also stabilizde.

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A Threshold Optimization Method for Decentralized Cooperative Spectrum Sensing in Cognitive Radio Networks (인지 무선 네트워크 내 분산 협력 대역 검출을 위한 문턱값 최적화 방법)

  • Kim, Nak-Kyun;Byun, Youn-Shik
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.40 no.2
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    • pp.253-263
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    • 2015
  • Lately, spectrum sensing performance has been improved by using cooperate spectrum sensing which each results of sensing of several secondary users are reported to the fusion center. Using Cognitive Radio, secondary user is able to share a bandwidth allocated to primary user. In this paper, we propose a new decentralized cooperative spectrum sensing scheme which compensates the performance degradation of existing decentralized cooperative spectrum sensing considering the error probability of the channel which sensed result of the secondary user is delivered to the fusion center in decentralized cooperative spectrum sensing. In addition, a sensing threshold optimization of minimizing the error probability of decentralized cooperative spectrum sensing is introduced by deriving the equation and the optimal sensing threshold has been confirmed to maximize the decentralized cooperative spectrum sensing performance.

Performance Optimization of Tandem Source-Channel Coding Systems Employing Unequal Error Protection Under Complexity Constraints (복잡도 제한 하에서 비균등 오류 보호 기법을 사용하는 탠덤 소스-채널 코딩 시스템의 성능 최적화)

  • Lim, Jongtae
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.18 no.10
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    • pp.2537-2543
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    • 2014
  • Between tandem source-channel coding systems and joint source-channel coding systems, it has been known that there is a complexity threshold in complexity versus performance. In this paper, by expanding the previous analysis for equal error protection systems, we analyze and compare the performance under complexity constrains for tandem source-channel coding systems which employ unequal error protection. Under a given complexity constraint, the optimization is performed to minimize the end-to-end distortion of each representative tandem and joint source-channel coding system. The results show that the complexity threshold for unequal error protection systems becomes smaller and the performance enhancement of unequal error protection systems over equal error protection systems gets smaller as the system complexity gets larger.

Development of the Thulium Doped Upconversion Fiber Blue Laser (Thulium이 첨가된 Upconversion 광섬유 Blue Laser 개발)

  • 황대석;김규식;허창우;이영우
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2003.10a
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    • pp.439-441
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    • 2003
  • 본 연구에서는 Thulium(Tm$^{3+}$ )이 첨가된 광섬유를 이용, Upconversion blue 레이저의 개발을 위해 fiber 길이 및 파워 변화에 따른 최적화된 설계 기준 값을 찾기 위한 시뮬레이션 코드를 개발하고 그 해석을 행하였다. 1140nm의 여기광원을 이용하여 여기하였을 때 광섬유 길이 40cm에서 약 100mW의 발진 문턱값을 갖으며 1W의 여기 광원에 대해 60mW의 출력 특성이 예상된다.

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A study on the optimization of network resource allocation scheme based on access probabilities (접근확률 기반의 네트워크 자원할당방식의 최적화에 관한 연구)

  • Kim Do-Kyu
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.10 no.8
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    • pp.1393-1400
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    • 2006
  • This paper optimizes the access probabilities (APs) in a network resource allocation scheme based on access probabilities in order that the waiting time and the blocking probability are minimized under the given constraints, and obtains its performance. In order to optimize APs, an infinite number of balance equations is reduced to a finite number of balance equations by applying Neuts matrix geometric method. And the nonlinear programming problem is converted into a linear programming problem. As a numerical example, the performance measures of waiting time and blocking probability for optimal access probabilities and the maximum utilization under the given constraints are obtained. And it is shown that the scheme with optimal APs gives more performance build-up than the strategy without optimization.

Voice Activity Detection Based on Non-negative Matrix Factorization (비음수 행렬 인수분해 기반의 음성검출 알고리즘)

  • Kang, Sang-Ick;Chang, Joon-Hyuk
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.35 no.8C
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    • pp.661-666
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    • 2010
  • In this paper, we apply a likelihood ratio test (LRT) to a non-negative matrix factorization (NMF) based voice activity detection (VAD) to find optimal threshold. In our approach, the NMF based VAD is expressed as Euclidean distance between noise basis vector and input basis vector which are extracted through NMF. The optimal threshold each of noise environments depend on NMF results distribution in noise region which is estimated statistical model-based VAD. According to the experimental results, the proposed approach is found to be effective for statistical model-based VAD using LRT.

An Improved Speech Absence Probability Estimation based on Environmental Noise Classification (환경잡음분류 기반의 향상된 음성부재확률 추정)

  • Son, Young-Ho;Park, Yun-Sik;An, Hong-Sub;Lee, Sang-Min
    • The Journal of the Acoustical Society of Korea
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    • v.30 no.7
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    • pp.383-389
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    • 2011
  • In this paper, we propose a improved speech absence probability estimation algorithm by applying environmental noise classification for speech enhancement. The previous speech absence probability required to seek a priori probability of speech absence was derived by applying microphone input signal and the noise signal based on the estimated value of a posteriori SNR threshold. In this paper, the proposed algorithm estimates the speech absence probability using noise classification algorithm which is based on Gaussian mixture model in order to apply the optimal parameter each noise types, unlike the conventional fixed threshold and smoothing parameter. Performance of the proposed enhancement algorithm is evaluated by ITU-T P.862 PESQ (perceptual evaluation of speech quality) and composite measure under various noise environments. It is verified that the proposed algorithm yields better results compared to the conventional speech absence probability estimation algorithm.