Results 71 to 80 of about 9,957 (160)

A convolution particle filtering approach for tracking elliptical extended objects [PDF]

, 2013
This paper proposes a convolution particle filtering approach for extended object tracking. Convolution particle filters (CPFs) are likelihood free filters. They are based on convolution kernel probability density representation.
Gning, Amadou, Mihaylova, Lyudmila, Petrov, Nikolay, Angelova, Donka   +3 more
core  

An MPEG-7 scheme for semantic content modelling and filtering of digital video

, 2006
Part 5 of the MPEG-7 standard specifies Multimedia Description Schemes (MDS); that is, the format multimedia content models should conform to in order to ensure interoperability across multiple platforms and applications.
Agius, HW, Harry Agius, Angelides, MC, Marios C. Angelides   +3 more
core   +1 more source

Improved Anisotropic Gaussian Filters

Image Analysis and Stereology
Elongated anisotropic Gaussian filters are used for the orientation estimation of fibers. In cases where computed tomography images are noisy, roughly resolved, and of low contrast, they are the method of choice even if being efficient only in virtual 2D slices.
Alex Keilmann, Michael Godehardt, Ali Moghiseh, Claudia Redenbach, Katja Schladitz   +4 more
openaire   +3 more sources

Optimal Gaussian Filter for Effective Noise Filtering

CoRR, 2014
In this paper we show that the knowledge of noise statistics contaminating a signal can be effectively used to choose an optimal Gaussian filter to eliminate noise. Very specifically, we show that the additive white Gaussian noise (AWGN) contaminating a signal can be filtered best by using a Gaussian filter of specific characteristics.
Sunil Kumar Kopparapu, M. Satish
openaire   +2 more sources

Nonlinear Gaussian Filtering : Theory, Algorithms, and Applications

, 2015
By restricting to Gaussian distributions, the optimal Bayesian filtering problem can be transformed into an algebraically simple form, which allows for computationally efficient algorithms.
Huber, Marco
core   +1 more source

Non-Gaussian Filters for Nonlinear Continuous-Discrete Models

SICE Journal of Control, Measurement, and System Integration, 2017
In this paper, we propose using an ensemble Kalman filter (EnKF) and particle filters (PFs) to obtain superior state estimation accuracy for nonlinear continuous-discrete models. We discretize the Ito-type stochastic differential system model by means of
Masaya Murata, Kaoru Hiramatsu
doaj   +1 more source

Filtering in Finance. [PDF]

In this article we present an introduction to various Filtering algorithms and some of their applications to the world of Quantitative Finance. We shall first mention the fundamental case of Gaussian noises where we obtain the well-known Kalman Filter ...
Javaheri, Alireza, Lautier, Delphine, Galli, Alain   +2 more
core  

Distributed angle‐only orbit determination algorithm for non‐cooperative spacecraft based on factor graph

IET Radar, Sonar & Navigation
Bayesian filtering provides an effective approach for the orbit determination of a non‐cooperative target using angle measurements from multiple CubeSats.
Zhixun Zhang, Keke Zhang, Leizheng Shu, Zhencai Zhu, Meijiang Zhou   +4 more
doaj   +1 more source

Phantom with Gaussian noise filtering results.

, 2020
Phantom with Gaussian noise filtering results.
Vicente Vidal (8278842), Gumersindo Verdú (827842), Mónica Chillarón (8316279)   +2 more
core   +1 more source

Fast Parallel Gaussian Filter Based on Partial Sums

Engineering Proceedings
As a convolutional operation in a space domain, Gaussian filtering involves a large number of computational operations, a number that increases when the sizes of images and the kernel size also increase.
Atanaska Bosakova-Ardenska, Hristina Andreeva, Ivan Halvadzhiev   +2 more
doaj   +1 more source