Results 1 to 10 of about 809,797 (292)
Smoothness Adaptive AverageDerivative Estimation [PDF]
The Econometrics Journal, 2010 Many important models, such as index models widely used in limiteddependent variables, partial linear models and nonparametric demand studiesutilize estimation of average derivatives (sometimes weighted) of theconditional mean function.
Marcia M Schafgans +1 more
core +2 more sources
Cooperative estimation algorithms for multi-sensor networks with imprecise measurements [PDF]
MATEC Web of Conferences, 2022 A cooperative estimation algorithm is proposed for mutli-sensor networks with imprecise measurements caused by electromagnetic interferences, abnormal currents and other faults in the multi-sensor measurement process.
Chen Jianxin +5 more
doaj +1 more source
IET Control Theory & Applications, 2023 In order to solve the problems of difficult control, poor stability, and low control precision in complex autonomous non‐linear systems, and some sensors have non‐linear errors in special environments.
Weibin Wu +7 more
doaj +1 more source
Adaptive Moving Horizon Estimator for Return Flow Rate Estimation using Fluid Levels of a Venturi Channel [PDF]
Modeling, Identification and Control, 2020 Real-time estimation of the return drilling fluid during oil well drilling is investigated in this study. Online fluid level measurements from a Venturi channel which can be placed on the return flowline is used with a model-based estimator.
Asanthi Jinasena, Roshan Sharma
doaj +1 more source
Frequency Adaptive Parameter Estimation of Unbalanced and Distorted Power Grid
IEEE Access, 2020 Grid synchronization plays an important role in the grid integration of renewable energy sources. To achieve grid synchronization, accurate information of the grid voltage signal parameters are needed.
Hafiz Ahmed +4 more
doaj +1 more source
Adaptive quantizers for estimation [PDF]
Signal Processing, 2013 In this paper, adaptive estimation based on noisy quantized observations is studied. A low complexity adaptive algorithm using a quantizer with adjustable input gain and offset is presented. Three possible scalar models for the parameter to be estimated are considered: constant, Wiener process and Wiener process with deterministic drift.
Cabral Farias, Rodrigo +1 more
openaire +3 more sources
Inventions, 2021 In measurement systems operating under various disturbances the probabilistic characteristics of measurement noises are usually known approximately. To improve the observation accuracy, a new approach to the Kalman’s filter adaptation is proposed.
Sergey Sokolov +2 more
doaj +1 more source
Adaptive estimation of eigensubspace [PDF]
IEEE Transactions on Signal Processing, 1995 In a recent work we recast the problem of estimating the minimum eigenvector (eigenvector corresponding to the minimum eigenvalue) of a symmetric positive definite matrix into a neural network framework. We now extend this work using an inflation technique to estimate all or some of the orthogonal eigenvectors of the given matrix.
Mathew, G +2 more
openaire +2 more sources
Robust Estimation of Optical Phase Varying as a Continuous Resonant Process [PDF]
, 2013 It is well-known that adaptive homodyne estimation of continuously varying optical phase provides superior accuracy in the phase estimate as compared to adaptive or non-adaptive static estimation.
Huntington, Elanor H. +2 more
core +1 more source
IEEE Photonics Journal, 2018 We propose a noise adaptive Kalman filter for joint polarization tracking and channel equalization using cascaded covariance matching. With the process noise covariance (Q) and the measurement noise covariance (R) estimated in a cascaded manner, the ...
Qun Zhang +5 more
doaj +1 more source