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Coherent Detection of Swerling 0 Targets in Sea-Ice Weibull-Distributed Clutter Using Neural Networks.

, , , и . IEEE Trans. Instrum. Meas., 59 (12): 3139-3151 (2010)

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Carlos Pascual Vicente Quiles

Odavia Bueno Díaz

Juliana Bueno

Renato Bueno

Claudia Patricia Bueno Castellanos

 

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Approximating the Neyman-Pearson Detector for Swerling I Targets with Low Complexity Neural Networks., , , , и . ICANN (2), том 3697 из Lecture Notes in Computer Science, стр. 917-922. Springer, (2005)Detection of Ships in Marine Environments by Square Integration Mode and Multilayer Perceptrons., , , , и . IEEE Trans. Instrum. Meas., 60 (3): 712-724 (2011)Intelligent Radar Detectors., , , , и . Encyclopedia of Artificial Intelligence, IGI Global, (2009)Comparison of Algorithms for Wind Parameters Extraction From Shipborne X-Band Marine Radar Images., , , , и . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 8 (2): 896-906 (2015)Artificial Neural Network-Based Clutter Reduction Systems for Ship Size Estimation in Maritime Radars., , , , и . EURASIP J. Adv. Signal Process., (2010)Study of the performance of different alignment methods in pattern recognition., , , , и . EUSIPCO, стр. 1-5. IEEE, (2006)Influence of Acoustic Feedback on the Learning Strategies of Neural Network-Based Sound Classifiers in Digital Hearing Aids., , , , и . EURASIP J. Adv. Signal Process., (2009)Estimate of significant wave height from non-coherent marine radar images by multilayer perceptrons., , и . EURASIP J. Adv. Signal Process., (2012)Neural Solutions for High Range Resolution Radar Classification., , , и . IWANN (2), том 2687 из Lecture Notes in Computer Science, стр. 559-566. Springer, (2003)Maximum Position Alignment Method for Noisy High-Resolution Radar Target Classification., , , и . IEEE Signal Process. Lett., (2008)