• Title/Summary/Keyword: convergence estimation

검색결과 1,128건 처리시간 0.025초

웨이블렛 기반 영상 잡음제거를 위한 천이 불변 uHMT 추정 (Shift-Invariant uHMT Estimation for Wavelet-based Image Denoising)

  • 윤근수;정원용
    • 융합신호처리학회 학술대회논문집
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    • 한국신호처리시스템학회 2001년도 하계 학술대회 논문집(KISPS SUMMER CONFERENCE 2001
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    • pp.221-224
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    • 2001
  • 본 논문은 웨이블렛 기반 영상 잡음제거를 위한 천이 불변 uHMT(universal hidden Markov tree) 추정을 제안한다. 제안된 추정은 영상의 크기와 스케일의 수에 독립적이고 어떤 학습도 필요하지 않는 단지 9개의 고정된 파라메터를 가지며 DWT(Discrete Wavelet Transform)의 천이 불변성 결핍에 의해 발생하는 가시적인 artifacts를 제거한다. 실험 결과, 제안된 추정은 기존의 웨이블렛 기반 잡음제거 방법들 보다 PSNR로 0.5-ldB 개선되었으며 수행 속도 측면에서 Ο(nlog n)를 제공한다.

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A Study on Individual Tap-Power Estimation for Improvement of Adaptive Equalizer Performance

  • Kim, Nam-Yong
    • Journal of electromagnetic engineering and science
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    • 제4권1호
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    • pp.23-29
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    • 2004
  • In this paper we analyze convergence constraints and time constant of IT-LMS algorithm and derive a method of making it's time constant independent of signal power by using input variance estimation. The method for estimating the input variance is to use a single-pole low-pass filter(LPF) with common smoothing parameter value, θ. The estimator is with narrow bandwidth for large θ but with wide bandwidth for small θ. This small θ gives long term average estimation(low frequency) of the fluctuating input variance well as short term variations (high frequency) of the input power. In our simulations of multipath communication channel equalization environments, the method with large θ has shown not as much improved convergence speed as the speed of the original IT-LMS algorithm. The proposed method with small θ=0.01 reach its minimum MSE in 100 samples whereas the IT-LMS converges in 200 samples. This shows the proposed, tap-power normalized IT-LMS algorithm can be applied more effectively to digital wireless communication systems.

개발자를 위한 합성제품 평가 지침에 관한 연구 (A Study on Common Criteria for Developer's Perspective Guide)

  • 정성모;김석수
    • 융합보안논문지
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    • 제8권2호
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    • pp.7-13
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    • 2008
  • 국내외적으로 보안제품 평가를 위해서 공통평가기준(CC)을 제정하여 제품을 평가한다. 이와 같은 기준은 제품의 복잡성과 함께 버전이 변화되어 제품 평가의 기준을 확대하고 있다. 하지만 개발자 입장에서 제품을 설계할 때 보안성 평가 지침에 적합한 형태로 접근하기가 매우 어렵다는 문제점이 있다. 이는 개발자에게 제시되는 평가기준이 불명확하기 때문이다. 이에 본 연구에서는 개발자를 위한 합성제품 평가 지침을 제시함으로써 정보보안 제품을 설계단계에서부터 보안 제품 기준을 명확히 도입할 수 있도록 방안을 제시하고자 한다.

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A Hybrid Estimation of Distribution Algorithm with Differential Evolution based on Self-adaptive Strategy

  • Fan, Debin;Lee, Jaewan
    • 인터넷정보학회논문지
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    • 제22권1호
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    • pp.1-11
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    • 2021
  • Estimation of distribution algorithm (EDA) is a popular stochastic metaheuristic algorithm. EDA has been widely utilized in various optimization problems. However, it has been shown that the diversity of the population gradually decreases during the iterations, which makes EDA easily lead to premature convergence. This article introduces a hybrid estimation of distribution algorithm (EDA) with differential evolution (DE) based on self-adaptive strategy, namely HEDADE-SA. Firstly, an alternative probability model is used in sampling to improve population diversity. Secondly, the proposed algorithm is combined with DE, and a self-adaptive strategy is adopted to improve the convergence speed of the algorithm. Finally, twenty-five benchmark problems are conducted to verify the performance of HEDADE-SA. Experimental results indicate that HEDADE-SA is a feasible and effective algorithm.

다목적 비디오 부호화를 위한 고속 어파인 움직임 예측 방법 (Fast Affine Motion Estimation Method for Versatile Video Coding)

  • 정승원;전동산
    • 한국산업융합학회 논문집
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    • 제25권4_2호
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    • pp.707-714
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    • 2022
  • Versatile Video Coding (VVC) is the most recent video coding standard, which had been developed by Joint Video Expert Team (JVET). It can improve significant coding performance compared to the previous standard, namely High Efficiency Video Coding (HEVC). Although VVC can achieve the powerful coding performance, it requires the tremendous computational complexity of VVC encoder. Especially, affine motion compensation (AMC) was adopted the block-based 4-parameter or 6-parameter affine prediction to overcome the limit of translational motion model while VVC require the cost of higher encoding complexity. In this paper, we proposed the early termination of AMC that determines whether the affine motion estimation for AMC is performed or not. Experimental results showed that the proposed method reduced the encoding complexity of affine motion estimation (AME) up to 16% compared to the VVC Test Model 17 (VTM17).

비전 시스템의 성능개선을 위한 진동 적응 방법 (Vibration Adaptive Algorithm for Vision Systems)

  • 서갑호;윤성조;박정우;박성호;김대희;손동섭;서진호
    • 한국생산제조학회지
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    • 제25권6호
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    • pp.486-491
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    • 2016
  • Disturbance/vibration reduction is critical in many applications using machine vision. The off-focusing or blurring error caused by vibration degrades the machine performance. In line with this, real-time disturbance estimation and avoidance are proposed in this study instead of going with a more familiar approach, such as the vibration absorber. The instantaneous motion caused by the disturbance is sensed by an attitude heading reference system module. A periodic vibration modeling is conducted to provide a better performance. The algorithm for vibration avoidance is described according to the vibration modeling. The vibration occurrence function is also proposed, and its parameters are determined using the genetic algorithm. The proposed algorithm is experimentally tested for its effectiveness in the vision inspection system.

계층적 구조를 이용한 효율적인 변위 추정 방법 (An Efficient Motion Estimation Method Using Hierarchical Structure)

  • 황신환;이상욱
    • 전자공학회논문지B
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    • 제28B권11호
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    • pp.913-924
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    • 1991
  • In this paper, we propose a motion estimation algorithm using hierarchical structure. The algorithm uses the image pyramids from the repetitive application of Gaussian filtering and decimation, and performs an inter-level displacement propagation in its motion estimation process. The motion estimation algorithm based on the hierarchical structure is shown to be very effective since this scheme utilizes the local imformation as well as the global imformation. The experimental results on the various data imdicate that compared to the Horn and Schunck's method, the proposed algorithm yields an accurate motion estimation with a fast convergence behaviour.

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Parameter Estimation of Recurrent Neural Equalizers Using the Derivative-Free Kalman Filter

  • Kwon, Oh-Shin
    • Journal of information and communication convergence engineering
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    • 제8권3호
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    • pp.267-272
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    • 2010
  • For the last decade, recurrent neural networks (RNNs) have been commonly applied to communications channel equalization. The major problems of gradient-based learning techniques, employed to train recurrent neural networks are slow convergence rates and long training sequences. In high-speed communications system, short training symbols and fast convergence speed are essentially required. In this paper, the derivative-free Kalman filter, so called the unscented Kalman filter (UKF), for training a fully connected RNN is presented in a state-space formulation of the system. The main features of the proposed recurrent neural equalizer are fast convergence speed and good performance using relatively short training symbols without the derivative computation. Through experiments of nonlinear channel equalization, the performance of the RNN with a derivative-free Kalman filter is evaluated.

인간 캐릭터 포즈 식별: FPS 게임에서의 포즈 추정 기법 (Pose Estimation Techniques for Humanoid Characters in FPS Gaming Environments)

  • 한유정;이민섭;차민수;우지영
    • 한국컴퓨터정보학회:학술대회논문집
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    • 한국컴퓨터정보학회 2024년도 제69차 동계학술대회논문집 32권1호
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    • pp.29-30
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    • 2024
  • 본 논문은 Krafton의 PUBG: BATTLEGROUNDS 게임에서 플레이어 분류를 목표로 하며, 포즈 추정기술을 사용하여 일반 플레이어와 봇을 구분한다. 이는 게임에서 직접 수집한 비디오 데이터를 기반으로 하며, 다음과 같은 두 가지 접근 방식을 제안한다. 첫 번째 방법은 동작 시퀀스 분석을 통해, 사용자의 특정동작 패턴을 식별하고 로지스틱 회귀 모델을 활용해 사용자 유형을 분류한다. 두 번째 방법은 YOLO-pose 모델을 사용하여 비디오 데이터에서 키포인트를 추출하고, 이를 LSTM 모델에 적용하여 프레임별로 사용자의 유형을 분류한다. 이러한 이중 접근 방식은 게임의 공정성과 사용자 경험을 향상시키는 새로운 도구를 제공하며, 보다 안전한 게임 환경에 기여할 수 있다. 이 연구는 게임 산업뿐만 아니라 보안 및 모니터링 분야에서도 동작 분석에 대한 혁신적인 접근 방식으로 활용될 잠재력을 가지고 있다.

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Signal Number Estimation Algorithm Based on Uniform Circular Array Antenna

  • Heui-Seon, Park;Hongrae, Kim;Suk-seung, Hwang
    • Journal of Positioning, Navigation, and Timing
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    • 제12권1호
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    • pp.43-49
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    • 2023
  • In modern wireless communication systems including beamformers or location-based services (LBS), which employ multiple antenna elements, estimating the number of signals is essential for accurately determining the quality of the communication service. Representative signal number estimation algorithms including the Akaike information criterion (AIC) and minimum description length (MDL) algorithms, which are information theoretical criterion models, determine the number of signals based on a reference value that minimizes each criterion. In general, increasing the number of elements mounted onto the array antenna enhances the performance of estimating the number of signals; however, it increases the computational complexity of the estimation algorithm. In addition, various configurations of array antennas for the increased number of antenna elements should be considered to efficiently utilize them in a limited location. In this paper, we introduce an efficient signal number estimation algorithm based on the beamspace based AIC and MDL techniques that reduce the computational complexity by reducing the dimension of a uniform circular array antenna. Since this algorithm is based on a uniform circular array antenna, it presents the advantages of a circular array antenna. The performance of the proposed signal number estimation algorithm is evaluated through computer simulation examples.