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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: 6.

Coventry, William and Clemente, Carmine and Soraghan, John and Cade, Neil (2021) Bearing estimation of low probability of intercept sources via polynomial matrices and sparse linear arrays. IET Radar Sonar and Navigation, 15 (11). pp. 1408-1419. ISSN 1751-8784

Coventry, William and Clemente, Carmine and Soraghan, John; (2019) Broadband sparse sensing : a polynomial matrix approach to co-prime and super nested arrays. In: 2019 IEEE Radar Conference. Institute of Electrical and Electronics Engineers Inc., USA. ISBN 9781728116792

Ilioudis, Christos V. and Cao, Jianlin and Theodorou, Ilias and Striano, Pasquale and Coventry, William and Clemente, Carmine and Soraghan, John (2019) GNSS based passive radar for UAV monitoring. In: IEEE Radar Conference 2019, 2019-04-22 - 2019-04-26, Westin Waterfront Hotel.

Coventry, William Thomas and Clemente, Carmine and Soraghan, John (2018) Broadband direction of arrival estimation via spatial co-prime sampling and polynomial matrix methods. In: IET International Radar Conference 2018, 2018-10-17 - 2018-10-19, Hilton Nanjing Riverside.

Coventry, William and Clemente, Carmine and Soraghan, John; (2017) Polynomial root-MUSIC algorithm for efficient broadband direction of arrival estimation. In: 2017 Sensor Signal Processing for Defence Conference (SSPD). IEEE, Piscataway, NJ. ISBN 9781538616642

Coventry, William and Clemente, Carmine and Soraghan, John; (2017) Enhancing polynomial MUSIC algorithm for coherent broadband sources through spatial smoothing. In: 25th European Signal Processing Conference, EUSIPCO 2017. IEEE, GRC, pp. 2448-2452. ISBN 9780992862671

This list was generated on Thu Nov 21 11:48:36 2024 GMT.