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Progress toward efficient compression algorithms for application in flight simulation environments

Publication ,  Conference
Thomas, JP; Dowell, EH; Anderson, M; McGowan, GZ
Published in: 2018 Modeling and Simulation Technologies Conference
January 1, 2018

In the following paper, we demonstrate the use of both proper orthogonal decomposition and Fourier series decomposition approaches for airwake dataset compression. The proper orthogonal decomposition method is used for compressing airwake data in the time-domain, and the Fourier series decomposition method is used for compressing airwake data in the spatial-domain. The approaches are applied to airwake data for a simplified frigate vessel model. A separate aircraft tanker configuration is also examined in order to demonstrate that the level of numerical precision can have an effect on the dataset compression results.

Duke Scholars

Published In

2018 Modeling and Simulation Technologies Conference

DOI

ISBN

9781624105517

Publication Date

January 1, 2018
 

Citation

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Thomas, J. P., Dowell, E. H., Anderson, M., & McGowan, G. Z. (2018). Progress toward efficient compression algorithms for application in flight simulation environments. In 2018 Modeling and Simulation Technologies Conference. https://doi.org/10.2514/6.2018-4064
Thomas, J. P., E. H. Dowell, M. Anderson, and G. Z. McGowan. “Progress toward efficient compression algorithms for application in flight simulation environments.” In 2018 Modeling and Simulation Technologies Conference, 2018. https://doi.org/10.2514/6.2018-4064.
Thomas JP, Dowell EH, Anderson M, McGowan GZ. Progress toward efficient compression algorithms for application in flight simulation environments. In: 2018 Modeling and Simulation Technologies Conference. 2018.
Thomas, J. P., et al. “Progress toward efficient compression algorithms for application in flight simulation environments.” 2018 Modeling and Simulation Technologies Conference, 2018. Scopus, doi:10.2514/6.2018-4064.
Thomas JP, Dowell EH, Anderson M, McGowan GZ. Progress toward efficient compression algorithms for application in flight simulation environments. 2018 Modeling and Simulation Technologies Conference. 2018.

Published In

2018 Modeling and Simulation Technologies Conference

DOI

ISBN

9781624105517

Publication Date

January 1, 2018