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Sharp Observation Error Estimate for the “Super-Twisting” Algorithm in the Presence of Measurement Error
AbstractWe consider an observation problem for a two-dimensional system with an unknown input action in the presence of a measurement error. Sharp...
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Feature Screening and Error Variance Estimation for Ultrahigh-Dimensional Linear Model with Measurement Errors
In this paper, we mainly study the feature screening and error variance estimation in ultrahigh-dimensional linear model with errors-in-variables...
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Partially Linear Single-Index Model in the Presence of Measurement Error
The partially linear single-index model (PLSIM) is a flexible and powerful model for analyzing the relationship between the response and the...
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Calculation of nth Derivative with Minimum Error Based on Function’s Measurement
AbstractA solution of the problem that arises in all cases where it is required to approximately calculate the derivatives of an a priori smooth...
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Quantum Error Correction
Fault-tolerant quantum computation essentially relies on quantum error-correcting codes. By repeated measurements of the error syndromesError...
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Error Modeling in NISQ Devices
The name “noisy intermediate-scale quantum (NISQ)” is commonly used to describe the current quantum computers. Those devices often have enough qubits...
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Measurement model and accuracy analysis of parabolic ballistic projectile flight parameters based on random matrix
The existing six light screen array measuring methodology of uniform linear trajectory is unable to determine the impact coordinate and flight speed...
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Incorporating Relative Error Criterion to Conformal Prediction for Positive Data
Positive data are very common in many scientific fields and applications; for these data, it is known that estimation and inference based on relative...
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Optimal design of wall temperature measurement for microchannel flat tube based on resistance temperature detector
Microchannel heat exchangers are characterized by high heat transfer efficiency and compact volume. The accuracy of microchannel wall temperature...
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On connections between Amplitude Flow and Error Reduction for phase retrieval and ptychography
In this paper, we consider two iterative algorithms for the phase retrieval problem: the well-known Error Reduction method and the Amplitude Flow...
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Error analysis on the initial state reconstruction problem
In this paper, we propose a method to estimate the initial state of a linear dynamical system from noisy observation based on Kalman Filters and...
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Fixed-Time Controller Design for a Quadrotor UAV with Asymmetric Output Error Constraints
In this article, a fixed-time tracking control strategy is proposed for a quadrotor UAV (QUAV) with external disturbance and asymmetric output error...
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A Note on Rounding Error in The Variables: Understanding Its Influence on Statistical Estimators
When estimating the variance, higher moments, and regression coefficients using rounded data, bias is commonly introduced into these estimates....
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Estimation of Uncertainty for Measurement of Ship Ice Resistance in Ice Basin
Evaluation of the ship’s ice capability is closely related to how accurate the ice resistance measurements of the ship hull that breaks the ice....
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On the Error in Determining the Protective Layer Boundary in the Inverse Heat Problem
AbstractThe paper studies the problem of determining the error introduced by inaccuracy in determining the thickness of a protective heat-resistant...
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Measurement of Similarity (I)
This chapter introduces the idea of measurement of similarity between referential and derived ideas, considering initially that both have the same...
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Algorithm for Monitoring Optical Coating Sputter Deposition Based on Broadband Measurement Sample Data
AbstractWe consider an algorithm for monitoring the process of sputter deposition of optical coatings based on the analysis of sample data of...
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Mathematical Basis of the Stochastic Digital Measurement Method
Stochastic digital measurement method (SDMM) is a significantly different paradigm of digital measurements compared to the standard sampling method...
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On Autoregressive Measurement Errors in a Two-Factor Model
In this study, we consider the extended two-factor model, originally introduced by Schwartz and Smith (2000), which has been commonly used for the...