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We develop a new perspective invariant feature space representation of remotely sensed objects, regarding the features themselves as primitive observables of the 3D objects and to estimate them from multiple sensor measurements. This is formulated as an inverse problem in the feature coefficients. Once the coefficients are estimated they may be used to derive higher level features used by machine...
Spectrum sensing detects the availability of the radio frequency spectrum and it is essential to cognitive radio. Cooperative spectrum sensing conducted among multiple secondary users has the potentials for solving the hidden terminal problem and achieving a better performance. In this paper, an approach for cooperative spectrum sensing based on Q-learning is proposed. Real-world Wi-Fi signals measured...
Cognitive radio has been put forward to make efficient use of scarce radio frequency spectrum. Once available frequency bands have been detected using spectrum sensing algorithms, spectrum auction can be employed to allocate the detected available frequency bands to secondary users. In this paper, a bidding algorithm based on Q-learning for secondary users is proposed. Secondary users employ the proposed...
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