Results 121 to 130 of about 66,114 (285)

Bayesian Noise Modelling for State Estimation of the Spread of COVID-19 in Saudi Arabia with Extended Kalman Filters. [PDF]

Sensors (Basel), 2023
Alyami L, Panda DK, Das S.
europepmc   +1 more source

Assimilation of machine‐learning‐predicted nitrate to improve the quality of phytoplankton forecasting in the shelf‐sea environment

Quarterly Journal of the Royal Meteorological Society, EarlyView.
This article demonstrates that assimilating machine‐learning‐derived surface nitrate can improve five‐day phytoplankton forecast substantially within the Met Office operational system for the Northwest European Shelf. We explain the reasons behind this improvement and propose that an online system where machine learning and data assimilation are cycled
Deep S. Banerjee, Jozef Skákala, David Ford   +2 more
wiley   +1 more source

Study of the Effectiveness of Different Kalman Filtering Methods and Smoothers in Object Tracking Based on Simulation Tests

Reports on Geodesy and Geoinformatics, 2015
In navigation practice, there are various navigational architecture and integration strategies of measuring instruments that affect the choice of the Kalman filtering algorithm.
Malinowski Marcin, Kwiecień Janusz
doaj   +1 more source

2D and 3D Angles-Only Target Tracking Based on Maximum Correntropy Kalman Filters. [PDF]

Sensors (Basel), 2022
Urooj A, Dak A, Ristic B, Radhakrishnan R.   +3 more
europepmc   +1 more source

Kalman filter and extended Kalman filter

, 2017
In the Bachelor’s thesis we describe the Kalman filtering algorithm for linear-Gaussian state space models and give an example of its application. We describe the extended Kalman filter for differentiable Gaussian state space models and give examples of its application.
openaire   +1 more source

Towards operational assimilation of surface‐sensitive microwave radiances over land at Environment and Climate Change Canada: Investigation of key factors using a 1D‐EnVar framework

Quarterly Journal of the Royal Meteorological Society, EarlyView.
The study evaluates five factors affecting the assimilation of surface‐sensitive Advanced Microwave Sounding Unit‐A (AMSU‐A) radiances over land, including the simultaneous estimation of surface emissivity and the standard set of state variables, to improve numerical weather prediction (NWP) at Environment and Climate Change Canada (ECCC).
Zheng Qi Wang, Mark Buehner, Yi Huang, Maziar Bani Shahabadi, Joël Bédard   +4 more
wiley   +1 more source

Crack Monitoring in Rotating Shaft Using Rotational Speed Sensor-Based Torsional Stiffness Estimation with Adaptive Extended Kalman Filters. [PDF]

Sensors (Basel), 2023
Park YH, Lee HB, Kim GW.
europepmc   +1 more source

How consistently do ensemble prediction systems represent the growth of atmospheric uncertainty?

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Spread‐based diagnostics calculated for 12 ensemble prediction systems are compared to understand the consistency with which they represent atmospheric uncertainty growth. Good correlation between all these systems is found in the extratropics for a lead time range from 48 hr to between 96 hr and 192 hr.
Douglas Wood, Suzanne Gray, John Methven, Mark Rodwell   +3 more
wiley   +1 more source

Comparative study of denoising techniques for 5G communication at 3.5 GHz

Proceedings of the Nigerian Society of Physical Sciences
This paper presents a comparative study of denoising techniques for improving 5G communication at 3.5GHz. A 5G system is simulated in MATLAB with thermal noise, intermodulation noise, and external interference.
Seyi Olukanni, Francis Salifu, Julius Idakwoji, Funsho Omonile   +3 more
doaj   +1 more source

Procapra Przewalskii Tracking Autonomous Unmanned Aerial Vehicle Based on Improved Long and Short-Term Memory Kalman Filters. [PDF]

Sensors (Basel), 2023
Luo W, Zhao Y, Shao Q, Li X, Wang D, Zhang T, Liu F, Duan L, He Y, Wang Y, Zhang G, Wang X, Yu Z.   +12 more
europepmc   +1 more source