Results 101 to 110 of about 9,957 (160)

Sequential Mixed Cost-Based Multi-Sensor and Relative Dynamics Robust Fusion for Spacecraft Relative Navigation

Remote Sensing
The non-redescending convex functions degrade the filtering robustness, whereas the redescending non-convex functions improve filtering robustness, but they tend to converge towards local minima.
Shoupeng Li, Weiwei Liu
doaj   +1 more source

Progressive Gaussian Filtering

, 2012
In this paper, we propose a progressive Bayesian procedure, where the measurement information is continuously included into the given prior estimate (although we perform observations at discrete time steps). The key idea is to derive a system of ordinary first-order differential equations (ODE) by employing a new coupled density representation ...
Hanebeck, Uwe D., Steinbring, Jannik
openaire   +2 more sources

Contribuições à modelagem estocástica de algoritmos adaptativos normalizados [PDF]

, 2015
Tese (doutorado) - Universidade Federal de Santa Catarina, Centro Tecnológico, Programa de Pós-Graduação em Engenharia Elétrica, Florianópolis, 2015.Este trabalho de pesquisa trata da modelagem estocástica de três algoritmos adaptativos bem conhecidos da
Kuhn, Eduardo Vinicius
core  

IMAGE SMOOTHING MENGGUNAKAN MEAN FILTERING, MEDIAN FILTERING, MODUS FILTERING DAN GAUSSIAN FILTERING [PDF]

, 2010
Pelembutan Citra (Image smoothing) bertujuan untuk menekan gangguan (noise) pada citra. Gangguan tersebut biasanya muncul sebagai akibat dari hasil penerokan yang tidak bagus (sensor noise, photographic grain noise) atau akibat saluran transmisi (pada ...
Bambang, Yuwono
core  

Gaussian Sum PHD Filtering Algorithm for Nonlinear Non-Gaussian Models

, 2008
A new multi-target filtering algorithm, termed as the Gaussian sum probability hypothesis density (GSPHD) filter, is proposed for nonlinear non-Gaussian tracking models.
Jianqiu, Zhang, Jianjun, Yin, Zesen, Zhuang   +2 more
core   +1 more source

Comparing Geodesic Filtering to State-of-the-Art Algorithms: A Comprehensive Study and CUDA Implementation

Journal of Imaging
This paper presents a comprehensive investigation into advanced image processing using geodesic filtering within a Riemannian manifold framework.
Pierre Boulanger, Sadid Bin Hasan
doaj   +1 more source

Comparison of Robust Filtration Techniques in Geometrical Metrology

, 2012
Filtration is one of core elements of analysis tools in geometrical metrology. Filtration techniques are progressing along with the advancement of manufacturing technology.
Lou, Shan, Zeng, Wenhan, Jiang, Xiangqian, Jiang, Xiang, Scott, Paul J.   +4 more
core  

Linear filtering with fractional Brownian motion in the signal and observation processes

, 1999
Integral equations for the mean-square estimate are obtained for the linear filtering problem, in which the noise generating the signal is a fractional Brownian motion with Hurst index h∈(3/4,1) and the noise in the observation process includes a ...
Kloeden, Peter E., Kleptsyna, Marina L., Anh, Vo Van   +2 more
core   +1 more source

Gaussian Filtering Using a Spherical-Radial Double Exponential Cubature

IEEE Open Journal of Signal Processing
Gaussian filters use quadrature rules or cubature rules to recursively solve Gaussian-weighted integrals. Classical and contemporary methods use stable rules with a minimal number of cubature points to achieve the highest accuracy. Gaussian quadrature is
Quade Butler, Youssef Ziada, S. Andrew Gadsden   +2 more
doaj   +1 more source

Localization and ambiguity resolution algorithm for time-difference fusion of three satellites based on observation filtering

Scientific Reports
To address the issues of low accuracy and time-difference ambiguity in the localization and tracking of multiple satellites, we have conducted a thorough study of the localization algorithm and the ambiguity resolution algorithm for the time-difference ...
Yanli Zhang, Haoquan Wang, Jingfeng Zheng, Lei Hua, Rui Zhang, Jian Xie   +5 more
doaj   +1 more source