Generalised hyperbolic state space models with application to spatio-temporal heat wave prediction

Murakami, Daisuke; Peters, Gareth W.; Septier, François; Matsui, Tomoko

doi:10.1016/j.spasta.2023.100778

Spatial Statistics

2023

DOI: 10.1016/j.spasta.2023.100778

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Generalised hyperbolic state space models with application to spatio-temporal heat wave prediction

Daisuke Murakami,

Gareth W. Peters,

François Septier

et al.

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2024

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Terahertz sensing through the lens of the Kalman filter: a bibliometric exploration

Obaideen,

AlShabi,

Bonny

2024

Sensing for Agriculture and Food Quality and Safety XVI

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The Terahertz (THz) spectrum, situated between microwave and infrared frequencies, is utilized for applications such as imaging and chemical analysis. This project aims to combine THz sensing with the Kalman Filter estimator, a recursive algorithm typically utilized for estimating data with high levels of noise. Upon a thorough effort, we investigate the prospects and challenges in THz sensing using the Kalman filter for assistance. Upon examining this area, we found an increasing pattern in combining THz wavelength technologies that boosts the precision and effectiveness of Kalman Filter applications in THz sensing. The topic being talked about is the significance of this technology in improving the dependability of detecting and measuring data in difficult conditions. Moreover, this document outlines essential advancements and trends in the field of THz sensing, as well as the progress in various disciplines that contribute to the development of THz sensing. This paper presents details about the current planning and disadvantages of utilizing Kalman Filters in THz sensing. It has served as a broad guide for both scientists and professionals, laying the groundwork for future advancements in this field. Incorporating these directivity methods not only enhances detection capabilities but also produces novel contributions to the field of THz sensing that also facilitate knowledge sharing.

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Terahertz sensing through the lens of the Kalman filter: a bibliometric exploration

Obaideen,

AlShabi,

Bonny

2024

Sensing for Agriculture and Food Quality and Safety XVI

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

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Generalised hyperbolic state space models with application to spatio-temporal heat wave prediction

Cited by 1 publication

References 30 publications

Terahertz sensing through the lens of the Kalman filter: a bibliometric exploration

Terahertz sensing through the lens of the Kalman filter: a bibliometric exploration

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