• Title/Summary/Keyword: Square mean of error

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Performance Analysis by Secondary link Frame structure in UAV System (무인기 운용환경을 고려한 보조링크 프레임 구조설계에 따른 성능분석)

  • Yoon, Chang-Bae;Kim, Hoi-Jun;Hong, Su-Woon
    • The Journal of the Korea institute of electronic communication sciences
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    • v.12 no.6
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    • pp.1115-1120
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    • 2017
  • In this paper, we apply the LMMSE(: Linear Minimum Mean Square Error) algorithm to overcome the Doppler effect according to the UAV(: Unmanned Aerial Vehicle) velocity in multipath fading channel environment. Simulation results show that the performance difference depends on the pilot arrangement and pattern, and we confirmed that the frame structure proposed in this paper can provide a stable secondary link for high speed UAV system.

Prediction Analysis of the Quadratic Errors-in-Variables Model (이차 변수 오차 모형의 예측분석)

  • Byeon, Jae-Hyeon;Lee, Seung-Hun
    • Journal of Korean Society for Quality Management
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    • v.21 no.1
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    • pp.152-160
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    • 1993
  • In developing a quadratic regression relationship, independent variable is frequently measured with error. In this paper the integrated mean square error of prediction is developed for a quadratic functional relationship model as a measure of the effect of measurement error of the independent variable on the predicted values. The amount of the effect of error is presented and illustrated with an example.

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Interference Cancellation System in Wireless Repeater Using Complex Signed Signed CMA Algorithm (Complex Signed-Signed CMA 알고리즘을 이용한 간섭 제거 중계기)

  • Han, Yong Sik
    • Journal of IKEEE
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    • v.17 no.2
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    • pp.145-150
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    • 2013
  • In the paper, we propose a new CSS(Complex Signed-Signed) CMA(Constant Modulus Algorithm) algorithm for ICS(Interference Cancellation System). When the repeater get the feedback signal, the CSS CMA algorithm is proposed at the ICS repeater using DSP(Digital Signal Processing) for the removal of interfering signals from the feedback paths. The proposed CSS CMA algorithm improved performances and hardware complexity by adjusting step size values. the steady state MSE(Mean Square Error) performance of the proposed CSS CMA algorithm with step size of 0.00043 is about 4dB better than the conventional CMA algorithm. And the proposed Complex Signed Signed CMA algorithm requires 1950 ~ 2150 less iterations than the LMS(Least Mean Square) and Signed LMS(Normalized Least Mean Square) algorithms at MSE of -25dB.

Parameter Estimation of Intensity-Duration-Frequency Curve using Genetic Algorithm (유전자 알고리즘을 이용한 강우강도식의 매개변수 추정에 관한 연구)

  • Shin, Ju-Young;Kim, Soo-Young;Kim, Tae-Soon;Heo, Jun-Haeng
    • Proceedings of the Korea Water Resources Association Conference
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    • 2007.05a
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    • pp.142-146
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    • 2007
  • 본 연구에서는 강우강도식의 매개변수를 보다 효율적으로 산정하기 위해서 유전자알고리즘을 적용한 매개변수 산정법을 제시하였으며, 지속기간의 장, 단기간에 따른 매개변수의 변화를 고려하기 위하여 다목적 유전자알고리즘을 적용하여 매개변수를 추정한 후 기존의 강우강도식에 의한 결과와 비교해 보았다. 매개변수는 지점빈도해석을 통해 산정된 확률강우량을 사용하여 추정하였고, 유전자 알고리즘의 목적함수로는 Nash & Sutcliffe Index, Root Mean Square Error(RMSE), Relative Root Mean Square Error(RRMSE), 결정계수, 평균들을 사용하여 가장 효율적인 형태의 목적함수를 구성하였다. 그 결과 기존의 매개변수 추정 방법들에 비해 유전자알고리즘을 이용한 경우에 더 정확한 강우량값을 산정할 수 있었고, 특히 다목적 유전자 알고리즘을 사용할 경우 장기간과 단기간에 걸쳐서 동시에 정확도를 향상시킬 수 있는 매개변수를 추정할 수 있는 것으로 나타났다.

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An error- diffusion halftoning technique based on noise spectrum shaping (잡음주파수특성 성형에 의한 오차확산 영상이진화 기법)

  • 이광기;이재천;권용무;김형곤
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.32B no.11
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    • pp.1464-1472
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    • 1995
  • In this paper, we propose an error diffusion image halftoning technique based on the noise spectrum shaping. The new technique can arbitrarily control the shape of the display error spectrum whereas conventional halftoning algorithms have been known to minimize dc errors only in which case edge information cannot be properly rendered. As a method for estimating the error diffusion coefficients, a least mean square (LMS) approach is adopted.

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Least Square Channel Estimation for Two-Way Relay MIMO OFDM Systems

  • Fang, Zhaoxi;Shi, Jiong
    • ETRI Journal
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    • v.33 no.5
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    • pp.806-809
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    • 2011
  • This letter considers the channel estimation for two-way relay MIMO OFDM systems. A least square (LS) channel estimation algorithm under block-based training is proposed. The mean square error (MSE) of the LS channel estimate is computed, and the optimal training sequences with respect to this MSE are derived. Some numerical examples are presented to evaluate the performance of the proposed channel estimation method.

Nonparametric Estimation of Mean Residual Life by Partial Moment Approximation under Proportional Hazard Model

  • Cha, Young-Joon
    • Journal of the Korean Data and Information Science Society
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    • v.15 no.4
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    • pp.965-971
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    • 2004
  • In this paper we consider several nonparametric estimators for the mean residual life by using the partial moment approximation under the proportional hazard model. Also we compare the magnitude of mean square error of the proposed nonparametric estimators for mean residual life under the proportional hazard model.

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An Efficient Synchronization and Cell Searching Method for OFDMA/TDD System (OFDMA/TDD 시스템을 위한 효율적인 동기 추정 및 셀 탐색 기법)

  • Kim, Jung-Ju;Noh, Jung-Ho;Chang, Kyung-Hi
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.30 no.9A
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    • pp.714-721
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    • 2005
  • In this parer, we analyze the preamble model in the OFDMA/TDD(OFDM-FDMA/Time Division Duplexing). Besides, under AWGN, ITU-R M.1225 Ped-B and Veh-A channel environments, we analyze capabilities of symbol timing & carrier frequency offset and performance of cell searching capabilities applied to OFDM/TDD system through computer simulation. The performance using Detection Probability, False Alarm Probability, Missing Probability, Mean Acquisition Time and MSE(Mean Square Error) is analyzed. Especially, in the case of symbol timing offset estimation, the preamble structure and its algorithm with enhanced performance are proposed and then compared with existing ones.

Analysis of Partial Least Square Regression on Textural Data from Back Extrusion Test for Commercial Instant Noodles (시중 즉석 조리 면의 Back Extrusion 텍스처 데이터에 대한 Partial Least Square Regression 분석)

  • Kim, Su kyoung;Lee, Seung Ju
    • Food Engineering Progress
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    • v.14 no.1
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    • pp.75-79
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    • 2010
  • Partial least square regression (PLSR) was executed on curve data of force-deformation from back extrusion test and sensory data for commercial instant noodles. Sensory attributes considered were hardness (A), springiness (B), roughness (C), adhesiveness to teeth (D), and thickness (E). Eight and two kinds of fried and non-fried instant noodles respectively were used in the tests. Changes in weighted regression coefficients were characterized as three stages: compaction, yielding, and extrusion. Correlation coefficients appeared in the order of E>D>A>B>C, root mean square error of prediction D>C>E>B>A, and relative ability of prediction D>C>E>B>A. Overall, 'D' was the best in the correlation and prediction. 'A' with poor prediction ability but high correlation was considered good when determining the order of magnitude.