Optimal Estimation of Rational Feedforward Control via Instrumental Variables: With Application to a Wafer Stage
Sign Up to like & getrecommendations! Published in 2018 at "Asian Journal of Control"
DOI: 10.1002/asjc.1595
Abstract: Iterative control enables a significant control performance enhancement by learning feedforward command signals from previous tasks in a batch-to-batch fashion. The aim of this paper is to develop an approach to estimate the parameters of… read more here.
Keywords: control; estimation rational; performance; optimal estimation ... See more keywords
Robust and optimal estimation for partially linear instrumental variables models with partial identification
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Econometrics"
DOI: 10.1016/j.jeconom.2020.05.012
Abstract: Abstract This paper studies robust and optimal estimation of the slope coefficients in a partially linear instrumental variables model with nonparametric partial identification. We establish the root-n asymptotic normality of a penalized sieve minimum distance… read more here.
Keywords: partial identification; robust optimal; identification; slope coefficients ... See more keywords
Optimal Estimation Over the Collision Channel
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Automatic Control"
DOI: 10.1109/tac.2016.2558644
Abstract: Consider a distributed sensing system that comprises two sensors, each observing a random variable, and a remote estimator. The goal of the remote estimator is to produce estimates of the random variables based on information… read more here.
Keywords: collision channel; random variables; remote estimator; collision ... See more keywords
Optimal Estimation With Missing Observations via Balanced Time-Symmetric Stochastic Models
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Automatic Control"
DOI: 10.1109/tac.2017.2689685
Abstract: We consider data fusion for the purpose of smoothing and interpolation based on observation records with missing data. Stochastic processes are generated by linear stochastic models. The paper begins by drawing a connection between time… read more here.
Keywords: missing observations; time; estimation missing; observations via ... See more keywords
Optimal Estimation of Frequency-Selective Channels in OFDM-Based Superimposed Training Schemes
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Vehicular Technology"
DOI: 10.1109/tvt.2024.3425573
Abstract: Orthogonal frequency division multiplexing (OFDM) is the main transmission scheme for the fifth generation (5G) of wireless communications. To properly operate, an estimation of the channel coefficients is mandatory, for this reason, superimposed training (ST),… read more here.
Keywords: frequency; optimal estimation; estimation; superimposed training ... See more keywords
A Flexible, Multi-Instrument Optimal Estimation Retrieval for Wind Profiles
Sign Up to like & getrecommendations! Published in 2024 at "Journal of Atmospheric and Oceanic Technology"
DOI: 10.1175/jtech-d-23-0134.1
Abstract: Instruments such as Doppler lidars, radar wind profilers and uncrewed aircraft systems could be used in observation networks to fill in the temporal and spatial gap that exists for low level wind observations. These instruments,… read more here.
Keywords: wind; retrieval; wind profiles; optimal estimation ... See more keywords
Synchronous Retrieval of LAI and Cab from UAV Remote Sensing: Development of Optimal Estimation Inversion Framework
Sign Up to like & getrecommendations! Published in 2023 at "Agronomy"
DOI: 10.3390/agronomy13041119
Abstract: UAV (unmanned aerial vehicle) remote sensing provides the feasibility of high-throughput phenotype nondestructive acquisition at the field scale. However, accurate remote sensing of crop physicochemical parameters from UAV optical measurements still needs to be further… read more here.
Keywords: remote sensing; synchronous retrieval; optimal estimation; framework ... See more keywords
Retrieval of volcanic SO 2 from HIRS/2 using optimal estimation
Sign Up to like & getrecommendations! Published in 2017 at "Atmospheric Measurement Techniques"
DOI: 10.5194/amt-10-2687-2017
Abstract: We present an optimal-estimation (OE) retrieval scheme for stratospheric sulfur dioxide from the High-Resolution Infrared Radiation Sounder 2 (HIRS/2) instruments on the NOAA and MetOp platforms, an infrared radiometer that has been operational since 1979.… read more here.
Keywords: estimation retrieval; estimation; eruption; hirs instruments ... See more keywords
The Community Cloud retrieval for CLimate (CC4CL) – Part 2: The optimal estimation approach
Sign Up to like & getrecommendations! Published in 2017 at "Atmospheric Measurement Techniques"
DOI: 10.5194/amt-11-3397-2018
Abstract: Abstract. The Community Cloud retrieval for Climate (CC4CL) is a cloud property retrieval system for satellite-based multispectral imagers and is an important component of the Cloud Climate Change Initiative (Cloud_cci) project. In this paper we discuss the… read more here.
Keywords: retrieval; climate; cloud; community cloud ... See more keywords
Aerosol extinction and backscatter Optimal Estimation retrieval for High Spectral Resolution Lidar
Sign Up to like & getrecommendations! Published in 2025 at "Atmospheric Measurement Techniques"
DOI: 10.5194/amt-18-6527-2025
Abstract: Abstract. High Spectral Resolution Lidars (HSRLs) have been successfully deployed from a variety of platforms: ground based, airborne, and now satellite. These lidars are uniquely valuable for characterizing atmospheric aerosol and clouds, benefiting from the… read more here.
Keywords: spectral resolution; optimal estimation; high spectral; backscatter ... See more keywords