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Open Access research that solves space system engineering problems...

Strathprints makes available scholarly Open Access content by scholars in the Department of Mechanical & Aerospace Engineering (MAE), based within the Faculty of Engineering.

Research at MAE includes research into space systems engineering and spaceflight mechanics. This spans a wide variety of topics such as nano-satellites, self-assembling spacecraft, orbital dynamics, trajectory design and optimization, autonomous navigation and planning, all under the auspices of the Aerospace Centre of Excellence - and with almost all research outputs openly available through Strathprints.

Explore the Open Access research of the Aerospace Centre of Excellence or the wider MAE department. Or explore all of Strathclyde's Open Access research...

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Group by: Publication Date | Item type | No Grouping
Number of items: 5.

Conference or Workshop Item

Weiss, Stephan and Proudler, Ian K. and Coutts, Fraser K. and Pestana, Jennifer (2019) Iterative approximation of analytic eigenvalues of a parahermitian matrix EVD. In: 2019 International Conference on Acoustics, Speech, and Signal Processing, 2019-05-12 - 2019-05-17.

Weiss, Stephan and Macleod, Malcolm D. (2019) Maximally smooth Dirichlet interpolation from complete and incomplete sampling on the unit circle. In: 2019 International Conference on Acoustics, Speech, and Signal Processing, 2019-05-12 - 2019-05-17.

Delaosa, Connor and Pestana, Jennifer and Goddard, Nicholas J. and Somasundaram, Samuel and Weiss, Stephan (2019) Sample space-time covariance matrix estimation. In: 2019 International Conference on Acoustics, Speech, and Signal Processing, 2019-05-12 - 2019-05-17.

Ye, Minxiang and Stankovic, Vladimir and Stankovic, Lina and Cheung, Gene (2019) Deep graph regularized learning for binary classification. In: 2019 International Conference on Acoustics, Speech, and Signal Processing, 2019-05-12 - 2019-05-17.

Murray, David and Stankovic, Lina and Stankovic, Vladimir and Lulic, Srdjan and Sladojevic, Srdjan (2019) Transferability of neural networks approaches for low-rate energy disaggregation. In: 2019 International Conference on Acoustics, Speech, and Signal Processing, 2019-05-12 - 2019-05-17. (In Press)

This list was generated on Tue Jan 21 11:26:15 2020 GMT.