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Selection of factor for root mean square minimum error criterion
2016 13th International Scientific-Technical Conference on Actual Problems of Electronics Instrument Engineering (APEIE), 2016This paper deals with various approaches to the selection of weighting factor for of a cumulative weighted root-mean-square minimum error criterion of linear ACSs. Such criterion allows to determine optimal values of small parameters of the system, thus minimizing the system error caused by input replication error of a determined (or random) signal, as
Evgeniya L. Veretelnikova +1 more
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Visual Acuity as a Function of Zernike Mode and Level of Root Mean Square Error
Optometry and Vision Science, 2003Background. The coefficients of normalized Zernike expansion are orthogonal and reflect the relative contribution of each mode to the total root mean square (RMS) wavefront error.
R. Applegate +4 more
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Measurement of Root-Mean-Square Phase Errors in Arrayed Waveguide Gratings
Chinese Physics Letters, 2004The interference-based method to measure the root-mean-square phase errors in SiO2-based arrayed waveguide gratings (AWGs) is presented. The experimental results show that the rms phase error of the tested AWG is 0.72 rad.
Zheng Xiao-Ping +4 more
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Root mean square time interval error accumulation along slave clock chains
Proceedings of ICC '93 - IEEE International Conference on Communications, 2002The main aspects of synchronization strategies suitable for application to synchronous digital hierarchy (SDH) based transport networks are discussed, with particular emphasis on the relative phase stability of distributed timing signals. Based on a mathematical model of slave clocks and a reference structure of the synchronization network, a ...
M. Carbonelli, D. De Seta, D. Perucchini
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Effect of the Relative Root-Mean-Square Error on Pavement Response
Analysis of Asphalt Pavement Materials and Systems, 2007Analysis of flexible pavements using the multilayered elastic theory involves the use of elastic moduli backcalculated from deflection basins measured utilizing the Falling Weight Deflectometer (FWD). Uncertainties associated with the thickness of the elastic layers, seed moduli, and the backcalculation algorithms have been studied to increase the ...
Wael Alkasawneh, Ernie Pan, Roger Green
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Journal of Electronic Imaging, 2016
Evaluating algorithms used to assess image and video quality requires performance measures. Traditional performance measures (e.g., Pearson’s linear correlation coefficient, Spearman’s rank-order correlation coefficient, and root mean square error) compare quality predictions of algorithms to subjective mean opinion scores (mean opinion score ...
Häkkinen Jukka +2 more
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Evaluating algorithms used to assess image and video quality requires performance measures. Traditional performance measures (e.g., Pearson’s linear correlation coefficient, Spearman’s rank-order correlation coefficient, and root mean square error) compare quality predictions of algorithms to subjective mean opinion scores (mean opinion score ...
Häkkinen Jukka +2 more
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Upper bound criterion for testing the stability of root mean squared forecast error
Journal of Statistics and Management Systems, 2007The purpose of the present study was to develop a relationship between Restricted Cross Validity Predictive Power (RCVPP) and Root Mean Squared Forecast Error (RMSFE).
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