Picture of fish in sea

Open Access research that uses mathematical models to solve ecological problems...

Solving a variety of ecological and biological problems is the focus of marine population modelling research conducted within the Department of Mathematics & Statistics. Here research deploys mathematical models to better understanding issues relating to fish stock management, ecosystem dynamics, ocean currents, and the effects of multispecies interactions within diverse marine ecosystems.

Research work in marine population modelling interfaces with a number of other key research specialisms, including mathematical biology, epidemiology and statistical informatics, where investigations are improving human understanding of the behaviour of infectious diseases, particularly in relation to animal infections; but also the modelling of complex biological processes such as antibiotic prodcution in actinobacteria.

Explore some of the Open Access research from Mathematics & Statistics. Or explore all of Strathclyde's Open Access research...

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Group by: Publication Date | Item type | No Grouping
Jump to: 2011 | 2010 | 2009
Number of items: 11.

2011

Elgamel, S. A. and Soraghan, J. (2011) Empirical mode decomposition-based monopulse processor for enhanced radar tracking in the presence of high-power interference. IET Radar Sonar and Navigation, 5 (7). pp. 769-779. ISSN 1751-8784

Elgamel, S.A. and Soraghan, J.; (2011) Mitigate high power interference noise in chirp radar systems using EMD-FrFT filtering. In: Proceedings of the 17th International Conference on Digital Signal Processing (DSP), 2011. IEEE. ISBN 978-1-4577-0273-0

Elgamel, Sherif and Soraghan, John (2011) Using EMD-FrFT filtering to mitigate high power interference in chirp tracking radars. IEEE Signal Processing Letters, 18 (4). 263 - 266. ISSN 1070-9908

2010

Elgamel, S. A. and Soraghan, J. (2010) Enhanced monopulse radar tracking using optimum fractional Fourier transform. IET Radar Sonar and Navigation, 5 (1). pp. 74-82.

Elgamel, Sherif A.E.H. and Soraghan, J.J. (2010) Enhanced monopulse radar tracking using empirical mode decomposition. In: 2010 European Radar Conference (EuRAD), 2010-10-30.

Elgamel, Sherif A.E.H. and Soraghan, J.J. (2010) Fractional fourier transform based monopulse radar for combating jamming interference. In: Sensor Signal Processing for Defence 2010, 2010-09-29 - 2010-09-30.

Elgamel, Sherif A.E.H. and Clemente, Carmine and Soraghan, J.J. (2010) Radar matched filtering using the fractional fourier transform. In: Sensor Signal Processing for Defence 2010 (SSPD 2010), 2010-09-29 - 2010-09-30.

Elgamel, Sherif A.E.H. and Soraghan, J.J. (2010) Optimum fractional fourier filtering for monopulse processors distortion. In: 2010 Asia-Pacific Radio Science Conference (AP-RASC'10), 2010-09-22 - 2010-09-26.

Elgamel, Sherif A.E.H. and Soraghan, J.J. (2010) Enhanced monopulse radar tracking using fractional Fourier filtering in the presence of interference. In: 11th International Radar Symposium IRS-2010, 2010-06-16 - 2010-06-18.

Elgamel, Sherif A.E.H. and Soraghan, J.J. (2010) A new fractional Fourier transform based monopulse tracking radar processor. In: IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), 2010, 2010-03-14 - 2010-03-19.

2009

Elgamel, S.A.E.H. and Soraghan, J.J. (2009) Target tracking enhancement using a Kalman filter in the presence of interference. In: Geoscience and Remote Sensing Symposium, 2009 IEEE International, IGARSS 2009, 2009-07-12 - 2009-07-17.

This list was generated on Mon Aug 3 11:05:29 2020 BST.