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DC Field | Value | Language |
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dc.date.accessioned | 2019-03-11T13:42:28Z | - |
dc.date.available | 2019-03-11T13:42:28Z | - |
dc.date.issued | 2010 | - |
dc.identifier.citation | Khlebnikov, V. A., & Adami, K. Z. (2010). Fast stable STAP algorithms based on feedback orthogonalization. arXiv preprint arXiv:1008.4160, 1-4 | en_GB |
dc.identifier.uri | https://www.um.edu.mt/library/oar//handle/123456789/41117 | - |
dc.description.abstract | The aim of this paper is to present a new fast- convergent numerically stable space-time adaptive processing (STAP) algorithm derived using a novel technique of feedback orthogonalization. The main advantages of this approach lie in its perfected stability to computational errors and faults which makes its real-time implementation on substantially faster and cheaper regular fixed-point processors possible. | en_GB |
dc.language.iso | en | en_GB |
dc.publisher | Cornell University | en_GB |
dc.rights | info:eu-repo/semantics/openAccess | en_GB |
dc.subject | Astrophysics -- Research | en_GB |
dc.subject | Astronomy | en_GB |
dc.subject | Space and time | en_GB |
dc.title | Fast stable STAP algorithms based on feedback orthogonalization | en_GB |
dc.type | article | en_GB |
dc.rights.holder | The copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder | en_GB |
dc.description.reviewed | N/A | en_GB |
dc.contributor.creator | Khlebnikov, Vasily A. | - |
dc.contributor.creator | Zarb Adami, Kristian | - |
Appears in Collections: | Scholarly Works - FacSciPhy |
Files in This Item:
File | Description | Size | Format | |
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Fast_stable_STAP_algorithms_based_on_feedback.pdf | 429.44 kB | Adobe PDF | View/Open |
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