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Open Access research that better understands changing marine ecologies...

Strathprints makes available scholarly Open Access content by researchers in the Department of Mathematics & Statistics.

Mathematics & Statistics hosts the Marine Population Modelling group which is engaged in research into topics surrounding marine resource modelling and ecology. Recent work has included important developments in the population modelling of marine species.

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Number of items: 12.

Article

Persico, Adriano Rosario and Clemente, Carmine and Gaglione, Domenico and Ilioudis, Christos V. and Cao, Jianlin and Pallotta, Luca and De Maio, Antonio and Proudler, Ian and Soraghan, John J. (2017) On model, algorithms and experiment for micro-doppler based recognition of ballistic targets. IEEE Transactions on Aerospace and Electronic Systems, 53 (3). pp. 1088-1108. ISSN 0018-9251

Clemente, Carmine and Pallotta, Luca and Gaglione, Domenico and De Maio, Antonio and Soraghan, John J. (2017) Automatic recognition of military vehicles with Krawtchouk moments. IEEE Transactions on Aerospace and Electronic Systems, 53 (1). pp. 493-500. ISSN 0018-9251

Gaglione, Domenico (2016) MACHe - Model-based algorithm for classification of helicopters. IEEE Aerospace and Electronic Systems Magazine, 31 (8). pp. 38-40.

Book Section

Gaglione, Domenico and Clemente, Carmine and Persico, Adriano Rosario and Ilioudis, Christos V. and Proudler, Ian K. and Soraghan, John J.; (2016) Fractional fourier transform based co-radar waveform : experimental validation. In: 2016 IEEE Sensor Signal Processing for Defence (SSPD). IEEE, GBR. ISBN 9781509003266

Persico, Adriano Rosario and Clemente, Carmine and Ilioudis, Christos V. and Gaglione, Domenico and Cao, Jianlin and Soraghan, John; (2015) Micro-Doppler based recognition of ballistic targets using 2D gabor filters. In: 2015 Sensor Signal Processing for Defence (SSPD). IEEE, GBR, pp. 1-5. ISBN 9781479974436

Coutts, Fraser K. and Gaglione, Domenico and Clemente, Carmine and Li, Gang and Proudler, Ian K. and Soraghan, John J.; (2015) Label consistent K-SVD for sparse micro-doppler classification. In: 2015 IEEE International Conference on Digital Signal Processing (DSP). IEEE, GBR, pp. 90-94. ISBN 978-1-4799-8058-1

Clemente, Carmine and Gaglione, Domenico and Coutts, Fraser Kenneth and Li, Gang and Soraghan, John; (2015) Model-based sparse recovery method for automatic classification of helicopters. In: 2015 IEEE Radar Conference (RadarCon). IEEE, USA, pp. 1161-1165. ISBN 978-1-4799-8231-8

Gaglione, Domenico and Clemente, Carmine and Pallotta, Luca and Proudler, Ian and De Maio, Antonio and Soraghan, John J.; (2014) Krogager decomposition and Pseudo-Zernike moments for polarimetric distributed ATR. In: 2014 Sensor Signal Processing for Defence (SSPD). IEEE, GBR, pp. 26-30. ISBN 978-1-4799-5294-6

Conference or Workshop Item

Gaglione, Domenico and Clemente, Carmine and Ilioudis, Christos V. and Persico, Adriano Rosario and Proudler, Ian K. and Soraghan, John J. (2016) Fractional fourier transform based waveform for a joint radar-communication system. In: IEEE Radar Conference 2016, 2016-05-02 - 2016-05-06.

Clemente, C. and Parry, T. and Galston, G. and Hammond, P. and Berry, C. and Ilioudis, C. and Gaglione, D. and Soraghan, J. J. (2015) GNSS based passive bistatic radar for micro-doppler based classification of helicopters : experimental validation. In: IEEE International Radar Conference 2015, 2015-05-11 - 2015-05-15.

Clemente, Carmine and Gaglione, Domenico and Pallotta, Luca and De Maio, Antonio and Soraghan, John (2015) On the use of image moments for ATR from SAR images. In: NATO SET on Radar Imaging and Target Identification, 2015-10-19 - 2015-10-20.

Clemente, C. and Ilioudis, C. and Gaglione, D. and Thompson, K. and Weiss, S. and Proudler, I. and Soraghan, J. J. (2014) Reuse of fractional waveform libraries for MIMO radar and electronic countermeasures. In: 6th International Symposium on Communications, Control and Signal Processing, ISCCSP 2014, 2014-05-21 - 2014-05-23.

This list was generated on Thu Nov 21 11:33:45 2024 GMT.