Results 21 to 30 of about 1,332,719 (289)
Superlinear Convergence and Implicit Filtering [PDF]
SIAM Journal on Optimization, 2000 Summary: We show how the implicit filtering algorithm can be coupled with the BFGS quasi-Newton update to obtain a superlinearly convergent iteration if the noise in the objective function decays sufficiently rapidly as the optimal point is approached.
T. D. Choi, C. T. Kelley
openaire +3 more sources
Prediction Error Method (PEM)-Based Howling Cancellation in Hearing Aids: Can We Do Better?
IEEE Access, 2023 This work develops an effective technique acoustic feedback cancellation (AFC) in the digital hearing aid (DHAid) devices. The normalized least mean square (NLMS) algorithm-based AFC method may suffer from a biased convergence.
Muhammad Tahir Akhtar +2 more
doaj +1 more source
Noise control with Kalman filter for active headrest
Xibei Gongye Daxue Xuebao, 2021 A control strategy with Kalman filter (KF) is proposed for active noise control of virtual error signal for active headset. Comparing with the gradient based algorithm, KF algorithm has faster convergence speed and better convergence performance. In this
WANG Lei, CHEN Kean, XU Jian, QI Wang
doaj +1 more source
Convergence rates of Gaussian ODE filters [PDF]
Statistics and Computing, 2020 AbstractA recently introduced class of probabilistic (uncertainty-aware) solvers for ordinary differential equations (ODEs) applies Gaussian (Kalman) filtering to initial value problems. These methods model the true solutionxand its firstqderivativesa priorias a Gauss–Markov process$${\varvec{X}}$$X, which is then iteratively conditioned on information
Hans Kersting +2 more
openaire +7 more sources
General methods of convergence and summability
Journal of Inequalities and Applications, 2021 This paper is on general methods of convergence and summability. We first present the general method of convergence described by free filters of N $\mathbb{N} $ and study the space of convergence associated with the filter.
Francisco Javier García-Pacheco +2 more
doaj +1 more source
A Tracking Algorithm for Sparse and Dynamic Underwater Sensor Networks
Journal of Marine Science and Engineering, 2022 An underwater sensor network (UWSN) has sparse and dynamic characteristics. In sparse and dynamic UWSNs, the traditional particle filter based on multi-rate consensus/fusion (CF/DPF) has the problems of a slow convergence rate and low filtering accuracy.
Haiming Liu, Bo Xu, Bin Liu
doaj +1 more source
Wonham Filter with Random parameters: Rate of Convergence and Error Bounds [PDF]
, 2003 Wonham Filter with Random parameters: Rate of Convergence and Error ...
Yin, G., Guo, X.
core +5 more sources
Sur la convergence d’unscented Kalman filter
, 2021 The present thesis is a study of the convergence of the unscented Kalman filter. A convergence analysis of the modified unscented Kalman filter ( used as an observer for a class of nonlinear deterministic continuous time systems, is presented.
Daid, Assia
core +2 more sources
On Filter Convergence of Series
Real Analysis Exchange, 2015 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Leonov, Alexander, Orhan, Cihan
openaire +2 more sources
Formalized Mathematics, 2015 Abstract We are inspired by the work of Henri Cartan [16], Bourbaki [10] (TG. I Filtres) and Claude Wagschal [34]. We define the base of filter, image filter, convergent filter bases, limit filter and the filter base of tails (fr: filtre des sections).
openaire +2 more sources