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Convergence Rates of Gaussian ODE Filters [PDF]

open access: yesStatistics and Computing, 2020
A recently-introduced class of probabilistic (uncertainty-aware) solvers for ordinary differential equations (ODEs) applies Gaussian (Kalman) filtering to initial value problems.
Hennig, Philipp   +2 more
core   +7 more sources

Performance analysis of SMI filter for antenna array receiver in pulse interference environment

open access: yesFrontiers in Physics, 2023
This paper analyzes the performance of sample matrix inversion (SMI) filter used by antenna array receivers in pulse interference environment. Firstly, from the perspective of comparison, it is proved that the theoretical optimal signal to interference ...
Jie Wang   +5 more
doaj   +1 more source

Modified Proportionate Affine Projection Algorithm Based Adaptive DSTATCOM Control With Increased Convergence Speed

open access: yesIEEE Access, 2022
The three-phase DSTATCOM is prone to higher dynamics due to grid disturbances. The proportionate affine projection algorithm (PAPA) is an adaptive filter that can be used for DSTATCOM control.
Arobinda Dash   +5 more
doaj   +1 more source

Prediction Error Method (PEM)-Based Howling Cancellation in Hearing Aids: Can We Do Better?

open access: yesIEEE 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

open access: yesXibei 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

A Tracking Algorithm for Sparse and Dynamic Underwater Sensor Networks

open access: yesJournal 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

General methods of convergence and summability

open access: yesJournal 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

Convergence of discrete time Kalman filter estimate to continuous time estimate [PDF]

open access: yes, 2015
This article is concerned with the convergence of the state estimate obtained from the discrete time Kalman filter to the continuous time estimate as the temporal discretization is refined.
Aalto, Atte
core   +1 more source

Coarse Alignment Technology on Moving base for SINS Based on the Improved Quaternion Filter Algorithm

open access: yesSensors, 2017
Initial alignment of the strapdown inertial navigation system (SINS) is intended to determine the initial attitude matrix in a short time with certain accuracy.
Tao Zhang   +4 more
doaj   +1 more source

Accelerating Consensus by Spectral Clustering and Polynomial Filters [PDF]

open access: yes, 2015
It is known that polynomial filtering can accelerate the convergence towards average consensus on an undirected network. In this paper the gain of a second-order filtering is investigated. A set of graphs is determined for which consensus can be attained
Apers, Simon, Sarlette, Alain
core   +7 more sources

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