• 제목/요약/키워드: Biased Error

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비-가우시안 잡음하의 적응 시스템을 위한 바이어스된 영-오차확률의 반복적 추정법 (Recursive Estimation of Biased Zero-Error Probability for Adaptive Systems under Non-Gaussian Noise)

  • 김남용
    • 인터넷정보학회논문지
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    • 제17권1호
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    • pp.1-6
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    • 2016
  • 바이어스된 영-오차확률 (biased zero-error probability)과 이에 관련된 알고리듬은 매 반복시간마다 합산과정을 지니고 있어 많은 계산상의 부담을 요구한다. 이 논문에서는 바이어스된 영-오차확률에 반복적 접근법을 적용한 알고리듬을 제안하였고 천해역 통신채널과 충격성 잡음 및 바이어스된 가우시안 잡음이 혼재한 실험 환경에서 성능을 비교하였다. 샘플 사이즈에 비례하는 계산 복잡도를 지닌 기존 알고리듬과 달리 제안한 반복적 방식은 샘플 사이즈와 무관하여 계산량의 부담을 크게 줄였다. 이러한 계산효율 특성을 지닌 제안한 알고리듬은 블록 처리방식의 기존 알고리듬과 비교하여 다중경로 페이딩, 바이어스된 잡음 및 충격성 잡음에 대한 강인성에서 동일한 성능을 나타냈다.

LES에서 중심 및 상류 컴팩트 차분기법의 적합성에 관하여 (II) - 정적 오차 해석 - (On the Suitability of Centered and Upwind-Biased Compact Difference Schemes for Large Eddy Smulations (II) - Static Error Analysis -)

  • 박노마;유정열;최해천
    • 대한기계학회논문집B
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    • 제27권7호
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    • pp.984-994
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    • 2003
  • The suitability of high-order accurate, centered and upwind-biased compact difference schemes for large eddy simulation is evaluated by a spectral, static error analysis. To investigate the effect of numerical dissipation on LES solutions, power spectra of discretization errors are evaluated for isotropic turbulence models in both continuous and discrete wavevector spaces. Contrary to the common belief, the aliasing errors from upwind-biased schemes are larger than those from comparable non-dissipative schemes. However, this result is the direct consequence of the definition of the power spectral density of the aliasing error, which poses the limitation of the static error analysis for upwind schemes.

비-가우시안 잡음하의 통신을 위한 바이어스된 오차 분포의 유클리드 거리 (Euclidean Distance of Biased Error Probability for Communication in Non-Gaussian Noise)

  • 김남용
    • 한국산학기술학회논문지
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    • 제14권3호
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    • pp.1416-1421
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    • 2013
  • 비-가우시안 잡음 환경의 적응 시스템을 위해, 평행 이동한 오차 분포와 오차 0에 위치한 델타 함수 사이의 유클리드 거리를 새로운 성능기준으로 제안하였다. 또한, 이 성능 기준에 근거하여 적응 알고리듬을 개발하였고, 얕은 바다에서 구한 수중 통신 다경로 채널에 충격성 잡음과 직류 바이어스 잡음이 더해진 환경으로 등화 성능을 시뮬레이션한 결과, 제안한 알고리듬이 기존의 MEDE 알고리듬 보다 5 dB 이상 향상된 MSE 성능을 보이며 오차 분포의 중심 위치가 정확히 0에 위치하였다.

LES에서 중심 및 상류 컴팩트 차분기법의 적합성에 관하여 (III) -동적 오차 해석 - (On the Suitability of Centered and Upwind-Biased Compact Difference Schemes for Large Eddy Simulations (III) - Dynamic Error Analysis -)

  • 박노마;유정열;최해천
    • 대한기계학회논문집B
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    • 제27권7호
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    • pp.995-1006
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    • 2003
  • The suitability of high-order accurate, centered and upwind-biased compact difference schemes for large eddy simulation is evaluated by a dynamic analysis. Large eddy simulation of isotropic turbulence is performed with various dissipative and non-dissipative schemes to investigate the effect of numerical dissipation on the resolved solutions. It is shown by the present dynamic analysis that upwind schemes reduce the aliasing error and increase the finite differencing error. The existence of optimal upwind scheme that minimizes total numerical error is verified. It is also shown that the finite differencing error from numerical dissipation is the leading source of numerical errors by upwind schemes. Simulations of a turbulent channel flow are conducted to show the existence of the optimal upwind scheme.

Blind Signal Processing for Medical Sensing Systems with Optical-Fiber Signal Transmission

  • Kim, Namyong;Byun, Hyung-Gi
    • 센서학회지
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    • 제23권1호
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    • pp.1-6
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    • 2014
  • In many medical image devices, dc noise often prevents normal diagnosis. In wireless capsule endoscopy systems, multipath fading through indoor wireless links induces inter-symbol interference (ISI) and indoor electric devices generate impulsive noise in the received signal. Moreover, dc noise, ISI, and impulsive noise are also found in optical fiber communication that can be used in remote medical diagnosis. In this paper, a blind signal processing method based on the biased probability density functions of constant modulus error that is robust to those problems that can cause error propagation in decision feedback (DF) methods is presented. Based on this property of robustness to error propagation, a DF version of the method is proposed. In the simulation for the impulse response of optical fiber channels having slowly varying dc noise and impulsive noise, the proposed DF method yields a performance enhancement of approximately 10 dB in mean squared error over its linear counterpart.

Biased SNR Estimation using Pilot and Data Symbols in BPSK and QPSK Systems

  • Park, Chee-Hyun;Hong, Kwang-Seok;Nam, Sang-Won;Chang, Joon-Hyuk
    • Journal of Communications and Networks
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    • 제16권6호
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    • pp.583-591
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    • 2014
  • In wireless communications, knowledge of the signal-to-noise ratio is required in diverse communication applications. In this paper, we derive the variance of the maximum likelihood estimator in the data-aided and non-data-aided schemes for determining the optimal shrinkage factor. The shrinkage factor is usually the constant that is multiplied by the unbiased estimate and it increases the bias slightly while considerably decreasing the variance so that the overall mean squared error decreases. The closed-form biased estimators for binary-phase-shift-keying and quadrature phase-shift-keying systems are then obtained. Simulation results show that the mean squared error of the proposed method is lower than that of the maximum likelihood method for low and moderate signal-to-noise ratio conditions.

ONNEGATIVE MINIMUM BIASED ESTIMATION IN VARIANCE COMPONENT MODELS

  • Lee, Jong-Hoo
    • East Asian mathematical journal
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    • 제5권1호
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    • pp.95-110
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    • 1989
  • In a general variance component model, nonnegative quadratic estimators of the components of variance are considered which are invariant with respect to mean value translaion and have minimum bias (analogously to estimation theory of mean value parameters). Here the minimum is taken over an appropriate cone of positive semidefinite matrices, after having made a reduction by invariance. Among these estimators, which always exist the one of minimum norm is characterized. This characterization is achieved by systems of necessary and sufficient condition, and by a cone restricted pseudoinverse. In models where the decomposing covariance matrices span a commutative quadratic subspace, a representation of the considered estimator is derived that requires merely to solve an ordinary convex quadratic optimization problem. As an example, we present the two way nested classification random model. An unbiased estimator is derived for the mean squared error of any unbiased or biased estimator that is expressible as a linear combination of independent sums of squares. Further, it is shown that, for the classical balanced variance component models, this estimator is the best invariant unbiased estimator, for the variance of the ANOVA estimator and for the mean squared error of the nonnegative minimum biased estimator. As an example, the balanced two way nested classification model with ramdom effects if considered.

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비-가우시안 잡음하의 적응 시스템을 위한 바이어스된 영-오차확률 (Biased Zero-Error Probability for Adaptive Systems under Non-Gaussian Noise)

  • 김남용
    • 인터넷정보학회논문지
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    • 제14권1호
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    • pp.9-14
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    • 2013
  • 영-오차확률 성능 기준은 오차 샘플들이 직류 바이어스 잡음의 영향을 받을 때 적응 시스템에 사용되기에는 제약이 따른다. 이 논문에서는 바이어스 변수를 오차 분포에 도입하고 바이어스된 오차확률에서 오차를 0 으로 하여 새로운 성능 기준인 바이어스된 영-오차확률을 제안하였다. 또한, 확장 필터 구조를 기반으로 제안된 성능 기준을 최대화 함으로써 적응 알고리듬을 도출하였다. 통신 채널 등화에 대한 시뮬레이션 결과로부터 제안된 성능기준에 기반한 이 알고리듬이 강한 충격성 잡음과 직류-바이어스 잡음의 환경에서 동요 없이 오차 샘플들을 0 으로 집중시키는 성능을 보였다.

LES에서 중심 및 상류 컴팩트 차분기법의 적합성에 관하여 (I) - 수치 실험 - (On the Suitability of Centered and Upwind-Biased Compact Difference Schemes for Large Eddy Smulation (I) - Numerical Test -)

  • 박노마;유정열;최해천
    • 대한기계학회논문집B
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    • 제27권7호
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    • pp.973-983
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    • 2003
  • The suitability of high-order accurate, centered and upwind-biased compact difference schemes is evaluated for large eddy simulation of turbulent flow. Two turbulent flows are considered: turbulent channel flow at Re = 23000 and flow over a circular cylinder at Re = 3900. The effects of numerical dissipation on the finite differencing and aliasing errors and the subgrid-scale stress are investigated. It is shown through the simulations that compact upwind schemes are not suitable for LES, whereas the fourth order-compact centered scheme is a good candidate for LES provided that proper dealiasing of nonlinear terms is performed. The classical issue on the aliasing error and the treatment of nonlinear terms is revisited with compact difference schemes.

이동통신망에서의 셀 내 가입자 분포 분석 (Spatial Distribution of Mobiles in Cellular Communication Network)

  • 장희선;이광희;윤상흠
    • 산업공학
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    • 제12권3호
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    • pp.401-405
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    • 1999
  • We present a simulation model to generate the spatial distribution of mobiles in cellular communication network. Three types of spatial distributions are considered; biased, random, and ratio-based distributions. This study also points out and corrects the critical errors performed by Das and Morgera(1997) in getting random location of mobiles. By applying a simple path loss model, the effects of our correction on the signal-to-interference(SIR) ratio are discussed. The numerical results indicate that the variation of SIR in the Das's biased distribution is larger than that of other distributions. As compared with the random distribution, the average SIR error of the biased distribution is 91.1%.

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