• 제목/요약/키워드: filter

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UNCANNY FILTERS OF WFI-ALGEBRAS

  • Jun, Young-Bae;Park, Chul-Hwan
    • 호남수학학술지
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    • 제30권1호
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    • pp.119-126
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    • 2008
  • The notion of uncanny filter is introduced, and related properties are investigated. Relations between uncanny filter, closed filter, and concrete filter are given. Characterizations of uncanny filter are provided. Extension property for uncanny filter is established.

MIGHTY FILTERS IN BE-ALGEBRAS

  • LEE, HYE RAN;AHN, SUN SHIN
    • 호남수학학술지
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    • 제37권2호
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    • pp.221-233
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    • 2015
  • The notion of a mighty (vague) filter in a BE-algebra is introduced, and the relation between a (vague) filter and a mighty (vague) filter are given. We investigate an equivalent condition for a (vague) filter to be mighty, and state an extension property for mighty filter. Also we define the notion of an n-fold mighty filter which is an extended notion of a mighty filter in a BE-algebra. Characterizations of an n-fold mighty filter are given. Extension property for an n-fold mighty filter are provided.

IIR(SPKF)/FIR(MRHKF 필터) 융합 필터 및 성능 분석 (IIR(SPKF)/FIR(MRHKF Filter) Fusion Filter and Its Performance Analysis)

  • 조성윤
    • 제어로봇시스템학회논문지
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    • 제13권12호
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    • pp.1230-1242
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    • 2007
  • This paper describes an IIR/FIR fusion filter for a nonlinear system, and analyzes the stability of the fusion filter. The fusion filter is applied to INS/GPS integrated system, and the performance is verified by simulation and experiment. In the fusion filter, an IIR-type filter (SPKF) and FIR-type filter (MRHKF filter) are processed independently, then the two filters are merged using the mixing probability calculated using the residuals and residual covariance information of the two filters. The merits of the SPKF and the MRHKF filter are embossed and the demerits of the filters are diminished via the filter fusion. Consequently, the proposed fusion filter has robustness against to model uncertainty, temporary disturbing noise, large initial estimation error, etc. The stability of the fusion filter is verified by showing the closeness of the states of the two sub filters in the mixing/redistribution process and the upper bound of the error covariance matrices. This fusion filter is applied into INS/GPS integrated system, and important factors for filter processing are presented. The performance of the INS/GPS integrated system designed using the fusion filter is verified by simulation under various error environments and is confirmed by experiment.

노이즈 불확실성하에서의 확장칼만필터의 변종들과 코스트 레퍼런스 파티클필터를 이용한 표적추적 성능비교 (Performance Comparison of Various Extended Kalman Filter and Cost-Reference Particle Filter for Target Tracking with Unknown Noise)

  • 신명인;홍우영
    • 한국시뮬레이션학회논문지
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    • 제27권3호
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    • pp.99-107
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    • 2018
  • 본 논문에서는 비선형성을 가지는 측정방정식의 상태값을 효과적으로 추정할 수 있는 확장칼만필터(Extended Kalman Filter/EKF)와 확장칼만필터의 변종들 그리고 코스트 레퍼런스 파티클필터(Cost-Reference Particle Filter/CRPF)를 이용하여 이차원 공간에서 표적추적 성능에 관하여 연구한다. 확장칼만필터의 변종으로 분산점칼만필터(Unscented Kalman Filter/UKF), 중심차분칼만필터(Central Difference Kalman Filter/CDKF), 제곱근 분산점칼만필터(Square Root Unscented Kalman Filter/SR-UKF) 그리고 제곱근 중심차분칼만필터(Square Root Central Difference Kalman Filter/SR-CDKF)를 소개한다. 본 연구에서는 노이즈가 불확실한 표적에 대하여 몬테카를로 시뮬레이션 기법을 이용하여 각 필터들의 평균제곱오차(Mean Square Error/MSE)를 계산하였다. 시뮬레이션 결과 확장칼만필터의 변종들 중에서 제곱근 중심차분칼만필터가 속도와 성능 면에서 가장 우수한 결과를 보여주었다. 코스트 레퍼런스 파티클 필터는 확장칼만필터와 다르게 노이즈의 확률 분포를 알 필요가 없다는 유리한 특성을 가지고 있으며 시뮬레이션 결과 제곱근 중심차분칼만필터보다 처리속도 및 정확도 면에서 우수한 결과를 보여주었다.

TRANSITIVE AND ABSORBENT FILTERS OF LATTICE IMPLICATION ALGEBRAS

  • Rao, M. Sambasiva
    • Journal of applied mathematics & informatics
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    • 제32권3_4호
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    • pp.323-330
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    • 2014
  • The notion of transitive filters is introduced in lattice implication algebras. A necessary and sufficient condition is derived for every filter to become a transitive filter. Some sufficient conditions are also derived for a filter to become a transitive filter. The concept of absorbent filters is introduced and their properties are studied. A set of equivalent conditions is obtained for a filter to become an absorbent filter.

다중표적추적을 위한 효과적인 필터 알고리듬에 대한 연구 (A study of effective filter algorithms for multi-target tracking)

  • 이동관;송택렬
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2000년도 제15차 학술회의논문집
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    • pp.99-99
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    • 2000
  • An effect ive filter algorithm that can manage radar beam pointing efficiently is needed to track multi-target in the air. For effective beam management the filter has lobe good enough to predict future position of target and based on this filter output radar beam is control led to point toward the predicted target position in the air. In this paper, we investigate the ${\alpha}$-${\beta}$ filter known for its brief filter structure with the steady-state Kalman filter gain, the ruv filter, and the coordinate-transformed filter that can decouple the measurement noise variance.

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Positive implicative and associative filters of lattice implication algebras

  • Jun, Young-Bae;Yang Xu;Keyun Qin
    • 대한수학회보
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    • 제35권1호
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    • pp.53-61
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    • 1998
  • We introduce the concepts of a positive implicative filter and an associative filter in a lattice implication algebra. We prove that (i) every positive implicative filter is an implicative filter, and (ii) every associative filter is a filter. We provide equivalent conditions for both a positive implicative filter and an associative filter.

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Double Tuned Active Filter 기능을 갖는 Single Tuned Active Filter (Single-Tuned Active Filter with Function of Double-Tuned Active Filter)

  • 김찬기;양병모;정길조
    • 전력전자학회논문지
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    • 제9권6호
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    • pp.544-552
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    • 2004
  • 본 논문은 Single Tuned Filter를 사용하여 11차와 13차 고조파를 동시에 제거하는 Hybrid 능동필터를 제안하였다. 제안된 Hybrid 능동필터는 Hybrid 능동필터의 Detuning 보상능력을 이용한 것으로, 하나의 필터를 이용하여 2개 이상의 고조파를 제거할 수 Topology를 보여주고 있다. 본 논문에서 다루는 Hybrid 능동필터는 Detuning 보상능력을 이용한 것이기 때문에 인버터 출력전압을 최적으로 설계하는 것이 필수적이다. 본 논문은 수동필터 부분의 커패시터 용량과 HVDC 시스템에서 발생되는 고조파 전류의 크기 그리고 수동필터의 공진주파수와 제어모드에 따라 인버터 출력전압이 변화함을 확인하였고, 이에 따른 최적의 인버터 전압을 구하였다.

Rao-Blackwellized Multiple Model Particle Filter자료융합 알고리즘 (Rao-Blackwellized Multiple Model Particle Filter Data Fusion algorithm)

  • 김도형
    • 한국항행학회논문지
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    • 제15권4호
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    • pp.556-561
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    • 2011
  • 일반적으로 비선형 시스템에서 particle filter가 Kalman Filter보다 표적추적 성능이 뛰어나다고 알려져 있다. 그러나 particle filter는 많은 연산량을 요구하는 단점이 있다. 본 논문에서는 particle filter 보다 적은 particle의 수, 즉 적은 연산량으로 동일한 성능을 가지는 Rao-Blackwellized particle filter의 모델의 민감성을 줄인 Rao-Blackwellized Multiple Model Particle Filter(RBMMPF)의 알고리즘을 소개하고 이에 다중센서 정보를 융합하는 자료융합 기법을 적용하였다. 시뮬레이션을 통해 단일센서 정보를 이용한 RBMMPF 표적추적 성능과 다중센서정보를 융합한 RBMMPF의 표적추적 성능을 비교, 분석하였다.

Fast Bilateral Filtering Using Recursive Gaussian Filter for Tone Mapping Algorithm

  • 프리마스투티 대위;남진우;차의영
    • 한국정보통신학회:학술대회논문집
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    • 한국해양정보통신학회 2010년도 춘계학술대회
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    • pp.176-179
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    • 2010
  • In this paper, we propose a fast implementation of Bilateral filter for tone mapping algorithm. Bilateral filter is able to preserve detail while at the same time prevent halo-ing artifacts because of improper scale selection by ensuring image smoothed that not only depend on pixel closeness, but also similarity. We accelerate Bilateral filter by using a piecewise linear approximation and recursive Gaussian filter as its domain filter. Recursive Gaussian filter is scale independent filter that combines low cost 1D filter which makes this filter much faster than conventional convolution filter and filtering in frequency domain. The experiment results show that proposed method is simpler and faster than previous method without mortgaging the quality.

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