Outdoor Alzheimer's patients tracking using an IoT system and a Kalman filter estimator
Alzheimer's Disease is a degenerative neurological disease that progresses slowly and
gradually. Currently incurable, and those who suffer from it deprive themselves, compared to …
gradually. Currently incurable, and those who suffer from it deprive themselves, compared to …
Comparison of nonlinear filtering techniques for photonic systems with blackbody radiation
This work explores a theoretical solution for noise reduction in photonic systems using
blackbody radiators. Traditionally, signal noise can be reduced by increasing the integration …
blackbody radiators. Traditionally, signal noise can be reduced by increasing the integration …
Устойчивые алгоритмы фильтрации—обзор и новые результаты для систем судовождения
ИВ Семушин, ЮВ Цыганова, КВ Захаров - Информационные …, 2013 - mathnet.ru
Рассматривается дискретная фильтрация с акцентом на вычислительный аспект.
Дается краткий обзор численно устойчивых реализаций, основанных на базовых …
Дается краткий обзор численно устойчивых реализаций, основанных на базовых …
[PDF][PDF] Вычислительные методы алгебры и оценивания
ИВ Семушин - Ульяновск: УлГТУ, 2011 - lib.ulstu.ru
ВЫЧИСЛИТЕЛЬНЫЕ МЕТОДЫ АЛГЕБРЫ И ОЦЕНИВАНИЯ Page 1 ИВСемушин
ВЫЧИСЛИТЕЛЬНЫЕ МЕТОДЫ АЛГЕБРЫ И ОЦЕНИВАНИЯ x1 x2 0 η i + 1 4 i + 1 4 ξ ︸ ︷︷ ︸ …
ВЫЧИСЛИТЕЛЬНЫЕ МЕТОДЫ АЛГЕБРЫ И ОЦЕНИВАНИЯ x1 x2 0 η i + 1 4 i + 1 4 ξ ︸ ︷︷ ︸ …
Integrating Kalman filter noise residue into U-Net for robust image denoising: the KU-Net model
S Soniya, KC Sriharipriya - Scientific Reports, 2024 - nature.com
In low-level image processing, where the main goal is to reconstruct a clean image from a
noise-corrupted version, image denoising continues to be a critical challenge. Although …
noise-corrupted version, image denoising continues to be a critical challenge. Although …
A self-validation Noise2Noise training framework for image denoising
A Limsuebchuea, R Duangsoithong… - The Imaging Science …, 2024 - Taylor & Francis
Image denoising is a crucial algorithm in image processing that aims to enhance image
quality. Deep learning-based image denoising methods can be categorized into supervised …
quality. Deep learning-based image denoising methods can be categorized into supervised …
Real-time vehicles tracking based on Kalman filter in a video-based ITS
L Xie, G Zhu, Y Wang, H Xu… - … , Circuits and Systems …, 2005 - ieeexplore.ieee.org
Tracking vehicles is an important and challenging issue in video-based intelligent
transportation systems and has been broadly investigated in the past. This paper presents a …
transportation systems and has been broadly investigated in the past. This paper presents a …
Kalman filter for a particular class of dynamic object images
VA Soifer, VA Fursov… - Informatics and …, 2024 - journals.rcsi.science
We discuss the problem of estimating the state of a dynamic object by using observed
images generated by an optical system. The work aims to implement a novel approach that …
images generated by an optical system. The work aims to implement a novel approach that …
An alternative vehicle counting tool using the Kalman filter within MATLAB
D Espejel-García, LR Ortíz-Anchondo… - Civil Engineering …, 2017 - civilejournal.org
This study proposes an alternative and economical tool to estimate traffic densities, via video-
image processing adapting the Kalman filter included in the Matlab code. Traffic information …
image processing adapting the Kalman filter included in the Matlab code. Traffic information …
Estimation of the spectrum sensing for the cognitive radios: Test analysing using Kalman filter
HE Adardour, M Meliani, MH Hachemi - Wireless Personal …, 2015 - Springer
Nowadays, the spectrum becomes more crowded and to solve this problem we use the
cognitive radio technology, cognitive radio is a promising technology used to improve of …
cognitive radio technology, cognitive radio is a promising technology used to improve of …