Results 11 to 20 of about 1,332,719 (289)

Filter Functions with Exponential Convergence Order [PDF]

open access: yesMathematische Nachrichten, 1994
AbstractOversampled functions can be evaluated using generalized sinc‐series and filter functions connected with these series. A standard filter function is given by exp ((ζ2 − 1)−1). We show that the Fourier transform of this filter posseses the convergence order 0(exp (−√x)), improving an estimation given in [10].
Denk, Robert
core   +5 more sources

Convergence Results for the Gaussian Mixture Implementation of the Extended-Target PHD Filter and Its Extended Kalman Filtering Approximation [PDF]

open access: yesJournal of Applied Mathematics, 2012
The convergence of the Gaussian mixture extended-target probability hypothesis density (GM-EPHD) filter and its extended Kalman (EK) filtering approximation in mildly nonlinear condition, namely, the EK-GM-EPHD filter, is studied here.
Feng Lian   +3 more
doaj   +2 more sources

A Dynamic-Gain Gradient-Descent-Based Complementary Filter for Attitude Estimation [PDF]

open access: yesSensors
This paper presents a gradient-descent-based complementary filter with dynamically adjustable gain for attitude estimation using gyroscope, accelerometer, and magnetometer measurements. The proposed method adaptively adjusts the complementary-filter gain
Andre Poščić   +3 more
doaj   +2 more sources

On the convergence of the unscented Kalman filter

open access: yesEuropean Journal of Control, 2021
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Assia Daid   +2 more
openaire   +5 more sources

On Stability and Convergence of Distributed Filters [PDF]

open access: yesIEEE Signal Processing Letters, 2021
Recent years have bore witness to the proliferation of distributed filtering techniques, where a collection of agents communicating over an ad-hoc network aim to collaboratively estimate and track the state of a system. These techniques form the enabling technology of modern multi-agent systems and have gained great importance in the engineering ...
Sayed Pouria Talebi   +3 more
openaire   +2 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

On the convergence of the ensemble Kalman filter [PDF]

open access: yesApplications of Mathematics, 2011
Convergence of the ensemble Kalman filter in the limit for large ensembles to the Kalman filter is proved. In each step of the filter, convergence of the ensemble sample covariance follows from a weak law of large numbers for exchangeable random variables, the continuous mapping theorem gives convergence in probability of the ensemble members, and $L^p$
Mandel, Jan   +2 more
openaire   +4 more sources

L-filters and L-filter convergence [PDF]

open access: yesInternational Journal of Fuzzy Logic and Intelligent Systems, 2009
In this paper, we study the relations between L-fuzzy topologies and L-filters on a strictly two-sided, commutative quantale lattice L. We define an L-fuzzy neighborhood filter and introduce the notion of L-filter convergence in L-fuzzy topological spaces.
Jung Mi Ko, Yong Chan Kim
openaire   +2 more sources

Kernel Adaptive Filtering Prediction Algorithm of Chaotic Time Series [PDF]

open access: yesZhengzhou Daxue xuebao. Gongxue ban, 2023
In practical environment, chaotic time series often contain a lot of noise and outliers. Because of these interference factors, the prediction performance of the kernel adaptive filter based on the second-order similarity measure could decrease ...
LIU Qiang   +3 more
doaj   +1 more source

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