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• W3204544052 abstract "Signal localization is a spectrum sensing problem that jointly detects the presence of a signal and estimates a center frequency and bandwidth. This is a step beyond most spectrum sensing work which estimates or not detections for either a single channel or fixed sized channels. We define the signal localization task, present the metrics of precision and recall, and establish baselines for traditional energy detection on this task. We introduce a new dataset that is useful for training neural networks to perform this task and show a training framework to train signal detectors to achieve the task and present precision and recall curves over SNR. This neural network based approach shows an 8 dB improvement in recall over the traditional energy detection approach with minor improvements in precision." @default.
• W3204544052 created "2021-10-11" @default.
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• W3204544052 date "2021-10-01" @default.
• W3204544052 modified "2023-09-27" @default.
• W3204544052 title "Wideband Signal Localization with Spectral Segmentation" @default.
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