On uniqueness and stable estimation of multiple parameters in the Cahn–Hilliard equation
Sign Up to like & getrecommendations! Published in 2022 at "Inverse Problems"
DOI: 10.1088/1361-6420/acca44
Abstract: We consider the identifiability and stable numerical estimation of multiple parameters in a Cahn–Hilliard model for phase separation. Spatially resolved measurements of the phase fraction are assumed to be accessible, with which the identifiability of… read more here.
Keywords: equation; multiple parameters; parameters cahn; cahn hilliard ... See more keywords
Optimal Measurements for Simultaneous Quantum Estimation of Multiple Phases.
Sign Up to like & getrecommendations! Published in 2017 at "Physical review letters"
DOI: 10.1103/physrevlett.119.130504
Abstract: A quantum theory of multiphase estimation is crucial for quantum-enhanced sensing and imaging and may link quantum metrology to more complex quantum computation and communication protocols. In this Letter, we tackle one of the key… read more here.
Keywords: estimation multiple; estimation; optimal measurements; measurements simultaneous ... See more keywords
Angular Parameters Estimation of Multiple Incoherently Distributed Sources Generating Noncircular Signals
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2906032
Abstract: In this paper, we introduce for the first time a new method for the estimation of the angular parameters [i.e., central directions of arrival (DOAs) and angular spreads] of multiple non-circular and incoherently-distributed (ID) sources.… read more here.
Keywords: multiple incoherently; estimation multiple; parameters estimation; angular parameters ... See more keywords
Radial Velocity Estimation for Multiple Objects Using In-Air Sonar With MIMO Virtual Arrays
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2022.3154395
Abstract: As autonomous platforms become more advanced, it is useful to obtain more information about the environment. Classic vision sensors such as RGB-D cameras, LiDAR, or acoustical imaging cameras are capable of accurately displaying the location… read more here.
Keywords: velocity estimation; multiple objects; velocity; objects using ... See more keywords
Efficient Parametric Yield Estimation Over Multiple Process Corners via Bayesian Inference Based on Bernoulli Distribution
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems"
DOI: 10.1109/tcad.2019.2940682
Abstract: Parametric yield estimation over multiple process corners plays an important role in robust circuit design. In this article, we propose a novel Bayesian inference method based on Bernoulli distribution (BI-BD) to efficiently estimate the multicorner… read more here.
Keywords: yield estimation; estimation multiple; bayesian inference; parametric yield ... See more keywords
Estimation of Multiple Angle-of-Arrivals With Localized Hybrid Subarrays for Millimeter Wave Systems
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Communications"
DOI: 10.1109/tcomm.2019.2960688
Abstract: Angle of Arrival (AoA) estimation with localized hybrid arrays is challenging in millimeter-wave (mmWave) communication systems. Most existing solutions quantize AoAs into limited values with relatively low accuracy. This paper presents a multi-AoA estimation scheme… read more here.
Keywords: estimation multiple; angle; aoa estimation; localized hybrid ... See more keywords
Gridless DOA Estimation With Multiple Frequencies
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2023.3244091
Abstract: Direction-of-arrival (DOA) estimation is widely applied in acoustic source localization. A multi-frequency model is suitable for characterizing the broadband structure in acoustic signals. In this paper, the continuous (gridless) DOA estimation problem with multiple frequencies… read more here.
Keywords: problem; doa estimation; gridless doa; estimation multiple ... See more keywords
Towards Robust and Accurate Cooperative State Estimation for Multiple Rigid Bodies
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Vehicular Technology"
DOI: 10.1109/tvt.2023.3344793
Abstract: Estimating the state (i.e., determining the position and orientation) of a rigid body (RB) is a key enabler technology for many applications (e.g., vehicle motion control and autonomous driving). Thus, rigid body localization (RBL), which… read more here.
Keywords: estimation multiple; crbl; performance; estimation ... See more keywords
Underdetermined direction of arrival estimation for multiple input and multiple outputs sparse channel based on Bayesian learning framework
Sign Up to like & getrecommendations! Published in 2023 at "Indonesian Journal of Electrical Engineering and Computer Science"
DOI: 10.11591/ijeecs.v31.i1.pp170-179
Abstract: Direction of arrival (DOA) estimation for a sparse channel has attracted serious attention recently. Better signal analysis and denoising achieve accuracy in DOA determination. This paper proposes an underdetermined DOA estimation for multiple input and… read more here.
Keywords: sparse channel; framework; estimation multiple; estimation ... See more keywords
Active mutual conjoint estimation of multiple contrast sensitivity functions
Sign Up to like & getrecommendations! Published in 2024 at "Journal of Vision"
DOI: 10.1167/jov.24.8.6
Abstract: Recent advances in nonparametric Contrast Sensitivity Function (CSF) estimation have yielded a new tradeoff between accuracy and efficiency not available to classical parametric estimators. An additional advantage of this new framework is the ability to… read more here.
Keywords: estimation multiple; contrast sensitivity; estimation; active mutual ... See more keywords