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Time-frequency analysis as a tool for improving neural detectors for low probability of false alarm.

, , , and . ICECS, page 91-94. IEEE, (2001)

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Enlarging Training Sets for Neural Networks., , , and . ANNs, page 25-33. INSTICC Press, (2004)On the Capability of Neural Networks to Approximate the Neyman-Pearson Detector: A Theoretical Study., , , and . ANNs, page 69-76. INSTICC Press, (2004)Time-frequency analysis as a tool for improving neural detectors for low probability of false alarm., , , and . ICECS, page 91-94. IEEE, (2001)Application of conventional marine radars for measuring ocean wave fields in shallow water conditions., , , , and . IGARSS, page 4338-4341. IEEE, (2010)Demonstrator of maritime SAR applications: Automatic ship detection results., , , , and . IGARSS, page 3732-3735. IEEE, (2012)A non-parametric CFAR detector based on SAR sea clutter statistical modeling., , , , and . ICIP, page 4426-4430. IEEE, (2015)Segmentation Techniques for Land Mask Estimation in SAR Imagery., , , , and . CICSyN, page 265-270. IEEE, (2013)Erratum: SONN and MLP Based Solutions for Detecting Fluctuating Targets with Unknown Doppler Shift in Gaussian Interference., , , , and . IWANN (1), volume 7902 of Lecture Notes in Computer Science, Springer, (2013)Neural Network Detectors for Composite Hypothesis Tests., , , , and . IDEAL, volume 4224 of Lecture Notes in Computer Science, page 298-305. Springer, (2006)Neural Solutions for High Range Resolution Radar Classification., , , and . IWANN (2), volume 2687 of Lecture Notes in Computer Science, page 559-566. Springer, (2003)