Parametric Spectrum Estimator (PSE) to estimate the Doppler Moments of precipitation Doppler Spectrum

doi:10.4121/e6921114-10d4-48ec-96b6-da7714647275.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/e6921114-10d4-48ec-96b6-da7714647275
Datacite citation style:
Dash, Tworit; Driessen, Hans; Krasnov, Oleg; Yarovoy, Alexander (2024): Parametric Spectrum Estimator (PSE) to estimate the Doppler Moments of precipitation Doppler Spectrum . Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/e6921114-10d4-48ec-96b6-da7714647275.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset

This repository contains the programs needed to estimate Doppler Moments of an extended target like precipitation when observed with a weather Doppler radar using the proposed approach in [1] (Parametric Spectrum Estimator (PSE)). This repository is based on simulated radar echoes. This repository shows an example statistical analysis of PSE with a parameter sweep and compares it with the state-of-the-art techniques. The details can be found in the README file of the software package.

history
  • 2024-08-19 first online, published, posted
publisher
4TU.ResearchData
format
.zip containing MATLAB/.m files
code hosting project url
https://github.com/tworitdash/PSEvF
organizations
TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science, Department of Microelectronics, Section of Microwave Sensing, Signals & Systems

DATA - restricted access

Reason

The code provided in this submission are protected under intellectual property rights owned by the original authors. To ensure proper recognition and to protect the intellectual contributions of the authors, access to these files is restricted. Users must request access and agree to the conditions outlined below.

End User Licence Agreement

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  6. Reporting Results: Users are encouraged to share their findings with the original authors and, where applicable, collaborate on publishing results.

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