Results 11 to 20 of about 2,788,570 (251)
Robust adaptive estimators for nonlinear systems [PDF]
, 2013 This paper is concerned with the development of new adaptive nonlinear estimators which incorporate adaptive estimation techniques for system noise statistics with the robust technique.
R. Katebi +3 more
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Investigation and development of DSP algorithms/hardware for real time power spectral density estimation [PDF]
, 1993 This research is concerned with the Power Spectrum Density Estimation with em- phasIze on the bigh-resolution algorithms and their real-time implementations. Tl-ie classical PSD estimation methods are fast and robust.
Sung-Yuan, Ko
core +7 more sources
Backward adaptive pixel-based fast predictive motion estimation [PDF]
, 2009 This letter presents a novel backward adaptive pixel-based fast predictive motion estimation (BAPME) scheme for lossless video compression. Unlike the widely used block-matching motion estimation techniques, this method predicts the motion on a pixel-by ...
Canagarajah, CN +2 more
core +1 more source
extremefit: A Package for Extreme Quantiles
Journal of Statistical Software, 2018 extremefit is a package to estimate the extreme quantiles and probabilities of rare events. The idea of our approach is to adjust the tail of the distribution function over a threshold with a Pareto distribution.
Gilles Durrieu +4 more
doaj +1 more source
IET Radar, Sonar & Navigation, 2022 Bearing‐only tracking of an underwater uncooperative target is essential to defend the sea territory. Considering the influences by uncertain underwater environment, the purpose of this work is to estimate 2‐D locations and velocities of an interested ...
Xianghao Hou +4 more
doaj +1 more source
IEEE AccessThis paper presents a novel fault estimation strategy for electric motors in Steer-By-Wire (SBW) systems, based on a Semi-Supervisory Artificial Neural Network (SSANN) observer.
Daeyi Jung
doaj +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
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
doaj +1 more source
Function estimation with locally adaptive dynamic models [PDF]
, 2001 We present a nonparametric Bayesian method for fitting unsmooth and highly oscillating functions, which is based on a locally adaptive hierarchical extension of standard dynamic or state space models.
Lang, S. +2 more
core +1 more source
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
doaj +1 more source