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Feature-based detection techniques have been advocated for robust spectrum sensing in cognitive radios. Cognitive radios must be able to train themselves to identify the features for a specific primary user at a given channel, time or location. However, ‘in-the-field’ training relies on signal observations where there is uncertainty about whether or not it is truly representative of the primary user...
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