Results 31 to 40 of about 204,399 (316)
Localisation and classification of mixed far‐field and near‐field sources with sparse reconstruction
IET Signal Processing, 2022 A sparse reconstruction algorithm for the localisation of mixed near‐field and far‐field sources (MFNS) based on four‐order statistics is proposed in this study.
Meidong Kuang +4 more
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The Annals of Statistics, 1982 We simplify a general heuristic necessary condition of Stein's for adaptive estimation of a Euclidean parameter in the presence of an infinite dimensional shape nuisance parameter and other Euclidean nuisance parameters. We derive sufficient conditions and apply them in the construction of adaptive estimates for the parameters of linear models and ...
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Adaptive Multi-Pattern Fast Block-Matching Algorithm Based on Motion Classification Techniques [PDF]
, 2007 Motion estimation is the most time-consuming subsystem in a video codec. Thus, more efficient methods of motion estimation should be investigated. Real video sequences usually exhibit a wide-range of motion content as well as different degrees of detail,
González Díaz, Iván +12 more
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IEEE AccessIn this paper, a novel steering control algorithm for semi-trailer trucks is proposed, which effectively incorporates the vehicle’s dynamic characteristics and compensates for lateral motion delays. To model the tractor and trailer, both kinematic
Geonyeong Park +2 more
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Robust adaptive Kalman filter for strapdown inertial navigation system dynamic alignment
IET Radar, Sonar & Navigation, 2021 The measurement noise covariance R plays a vital role in the Kalman filter (KF) algorithm. Traditionally, a constant R is obtained by experience or experiments.
Bing Zhu +4 more
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Adaptive Estimation of Nonparametric Functionals
J. Mach. Learn. Res., 2016 We provide general adaptive upper bounds for estimating nonparametric functionals based on second order U-statistics arising from finite dimensional approximation of the infinite dimensional models. We then provide examples of functionals for which the theory produces rate optimally matching adaptive upper and lower bounds.
Lin Liu +3 more
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Adaptive Linear Estimating Equations
Advances in Neural Information Processing Systems 36, 2023 Paper is accepted at NeurIPS ...
Mufang Ying +2 more
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IET Control Theory & ApplicationsThis article presents a novel approach for adaptive nonlinear state estimation in a modified autoregressive time series with fixed coefficients, leveraging an adaptive polynomial Kalman filter (APKF).
Dileep Sivaraman +3 more
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Taylor‐based adaptive sliding mode control method for robot manipulators
IET Control Theory & Applications, 2023 This paper develops a novel Taylor‐based adaptive sliding mode control method (ASMC) for robot manipulators. In the first new scheme, sliding mode control (SMC) is effectively enhanced using the Taylor expansion for achieving a less conservative sign ...
Alireza Fateh +2 more
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On the distribution of the adaptive LASSO estimator [PDF]
Journal of Statistical Planning and Inference, 2009 We study the distribution of the adaptive LASSO estimator (Zou (2006)) in finite samples as well as in the large-sample limit. The large-sample distributions are derived both for the case where the adaptive LASSO estimator is tuned to perform conservative model selection as well as for the case where the tuning results in consistent model selection. We
Pötscher, Benedikt M. +1 more
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