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Date: 2015
Language: eng
Resource Type: book chapter
Identifier: http://hdl.handle.net/1959.14/1063576
Description: In this chapter, the effect of imperfect training data on feature-based signal detection is explored, as it relates to both training time and detection performance in a cognitive radio system. The imp ... More
Date: 2012
Language: eng
Resource Type: conference paper
Identifier: http://hdl.handle.net/1959.14/184403
Description: 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 primar ... More
Reviewed: Reviewed
Date: 2012
Language: eng
Resource Type: conference paper
Identifier: http://hdl.handle.net/1959.14/202905
Description: This paper considers the problem, in the context of cognitive radio systems, of identifying the spectral occupancy of a signal, where its bandwidth is only a subset of the total bandwidth of interest. ... More
Reviewed: Reviewed
Date: 2011
Language: eng
Resource Type: conference paper
Identifier: http://hdl.handle.net/1959.14/167696
Description: In this paper, a detector is presented that can be trained to recognise the dominant features in the cyclic spectrum of a signal, and hence distinguish between scenarios when the signal is present or ... More
Reviewed: Reviewed
Date: 2011
Language: eng
Resource Type: conference paper
Identifier: http://hdl.handle.net/1959.14/146318
Description: This paper introduces a reduced complexity approach to cyclostationarity detection of primary user signals in cognitive radio systems. The decision statistic is formulated by exploiting the variations ... More
Reviewed: Reviewed
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