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Full duplex radio increases the frequency efficiency but its performance is limited by the self-interference (SI). We first analyze the multiple noises in the full duplex radio system and model such noises as an α-stable distribution. Then we formulate a novel non-Gaussian SI problem. Under the maximum correntropy criterion (MCC), a robust digital non-linear self-interference cancellation algorithm...
Through multiple levels of abstraction, deep learning takes advantage of multiple layers models to find the complicated structure and learn the high level representations of data. In recent years, deep learning has made great progress in object detection, speech recognition, and many other domains. The robustness of learning systems with deep architectures is however rarely studied and needs further...
Correntropyas a new similarity function with its excellent property has been used for many case. It's estimator as a computing tool of Correntropy in sense of mean value, this character has some defect for tracking time-varying parameters in some special case. Thus the estimator with forgetting factor of Correntropy (Correntropy-FF) is researched by us first in this paper. Correntropy-FF is as an...
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