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Powering innovation in artificial intelligence with Open Access research...

Artificial intelligence (AI) and machine learning (ML) together represent a research frontier with a wide variety of discipline specific applications. At Strathclyde researchers in Computer & Information Sciences are exploring improved AI planning models to enable improved decision making by automous agents. Meanwhile, research conducted by the Aerospace Centre of Excellence is using AI and computational techniques to optimize the efficacy of certain astronautic applications. This includes 'global trajectory optimization' to aircraft and spacecraft design, from the planning and scheduling for autonomous vehicles to the synthesis of robust controllers for airplanes or satellites.

AI is also transforming the research agenda within Finance, where researchers are exploring the potential of AI and machine learning in evaluating banking risks and in new, emerging aspects of FinTech.

Explore some of this Open Access research from Computer & Information Sciences, Aerospace Centre of Excellence and Finance. Or explore all of Strathclyde's Open Access research...

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Group by: Publication Date | Item type | No Grouping
Jump to: 2020 | 2019 | 2018 | 2017 | 2016
Number of items: 18.

2020

Weiss, Stephan and Proudler, Ian K. and Coutts, Fraser K. and Deeks, Julian (2020) Extraction of analytic eigenvectors from a parahermitian matrix. In: International Conference on Sensor Signal Processing for Defence, 2020-09-15 - 2020-09-16. (In Press)

Proudler, Ian K. and Stankovic, Vladimir and Weiss, Stephan (2020) Narrowband angle of arrival estimation exploiting graph topology and graph signals. In: International Conference on Sensor Signal Processing for Defence, 2020-09-15 - 2020-09-16. (In Press)

Delaosa, Connor and Pestana, Jennifer and Weiss, Stephan and Proudler, Ian (2020) Subspace perturbation bounds with an application to angle of arrival estimation using the MUSIC algorithm. In: International Conference on Sensor Signal Processing for Defence, 2020-09-15 - 2020-09-16. (In Press)

2019

Coutts, Fraser K. and Proudler, Ian K. and Weiss, Stephan (2019) Efficient implementation of iterative polynomial matrix EVD algorithms exploiting structural redundancy and parallelisation. IEEE Transactions on Circuits and Systems I: Regular Papers, 66 (12). pp. 4753-4766. ISSN 1549-8328

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.

Redif, Soydan and Pestana, Jennifer and Proudler, Ian K.; (2019) Analysis of broadband GEVD-based blind source separation. In: ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, Piscataway, NJ, pp. 8028-8032. ISBN 9781479981311

Ilioudis, Christos V. and Clemente, Carmine and Proudler, Ian and Soraghan, John (2019) Generalised ambiguity function for MIMO radar systems. IEEE Transactions on Aerospace and Electronic Systems. ISSN 0018-9251

Weiss, Stephan and Proudler, Ian K. and MacLeod, Malcolm D. (2019) Measuring smoothness of real-valued functions defined by sample points on the unit circle. In: Sensor Signal Processing for Defence 2019, 2019-05-09 - 2019-05-10. (In Press)

2018

Weiss, Stephan and Pestana, Jennifer and Proudler, Ian K. and Coutts, Fraser K. (2018) Correction to "On the existence and uniqueness of the eigenvalue decomposition of a parahermitian matrix". IEEE Transactions on Signal Processing, 66 (23). pp. 6325-6327. ISSN 1053-587X

Gaglione, Domenico and Clemente, Carmine and Ilioudis, Christos V. and Persico, Adriano Rosario and Proudler, Ian K. and Soraghan, John J. and Farina, Alfonso (2018) Waveform design for communicating radar systems using fractional Fourier transform. Digital Signal Processing, 80. pp. 57-69. ISSN 1051-2004

Coutts, Fraser Kenneth and Thompson, Keith and Pestana, Jennifer and Proudler, Ian and Weiss, Stephan (2018) Enforcing eigenvector smoothness for a compact DFT-based polynomial eigenvalue decomposition. In: 10th IEEE Workshop on Sensor Array and Multichannel Signal Processing, 2018-07-08 - 2018-07-11.

Weiss, Stephan and Pestana, Jennifer and Proudler, Ian K. (2018) On the existence and uniqueness of the eigenvalue decomposition of a parahermitian matrix. IEEE Transactions on Signal Processing, 66 (10). pp. 2659-2672. ISSN 1053-587X

2017

Coutts, Fraser K. and Thompson, Keith and Weiss, Stephan and Proudler, Ian K. (2017) Analysing the performance of divide-and-conquer sequential matrix diagonalisation for large broadband sensor arrays. In: IEEE International Workshop on Signal Processing Systems, 2017-10-03 - 2017-10-05.

2016

Ilioudis, Christos and Clemente, Carmine and Proudler, Ian and Soraghan, John (2016) MIMO radar ambiguity functions : a case study. In: 11th IMA International Conference on Mathematics in Signal Processing, 2016-12-12 - 2016-12-14, IET Austin Court.

Alzin, Ahmed and Coutts, Fraser K. and Corr, Jamie and Weiss, Stephan and Proudler, Ian K. and Chambers, Jonathon A.; (2016) Polynomial matrix formulation-based Capon beamformer. In: 11th IMA International Conference on Mathematics in Signal Processing. Institute of Mathematics and its Applications, GBR.

Coutts, Fraser K. and Corr, Jamie and Thompson, Keith and Weiss, Stephan and Proudler, Ian K. and McWhirter, John G.; (2016) Memory and complexity reduction in parahermitian matrix manipulations of PEVD algorithms. In: 2016 24th European Signal Processing Conference. IEEE, HUN, pp. 1633-1637. ISBN 9780992862657

Coutts, Fraser K. and Corr, Jamie and Thompson, Keith and Weiss, Stephan and Proudler, Ian K. and McWhirter, John G. (2016) Complexity and search space reduction in cyclic-by-row PEVD algorithms. In: 50th Asilomar Conference on Signals, Systems and Computers, 2016-11-06 - 2016-11-09, Asilomar Conference Ground. (In Press)

Coutts, Fraser K. and Corr, Jamie and Thompson, Keith and Weiss, Stephan and Proudler, Ian K. and McWhirter, John G.; (2016) Multiple shift QR decomposition for polynomial matrices. In: 11th IMA International Conference on Mathematics in Signal Processing. Institute of Mathematics and its Applications, GBR. (In Press)

This list was generated on Fri Aug 14 06:03:49 2020 BST.