Computational Intelligence and Neuroscience - Brain-Computer Interfaces: Towards Practical Implementations and Potential Applications
Collaborative cyclostationary spectrum sensing for cognitive radio systems
IEEE Transactions on Signal Processing
A new spectrum sensing method for cognitive radio
MUSP'10 Proceedings of the 10th WSEAS international conference on Multimedia systems & signal processing
Full length article: Multilayer sensors for the Sensorial Radio Bubble
Physical Communication
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This paper presents a new method, named as the variability method, to estimate the cyclo-period of a discrete-time cyclo-stationary signal. The method is essentially based on the time-varying correlation and/or the time-varying mean, whose estimators are associated with some statistics of blocked signals; a plot of variability of these statistics as a function of the blocking operator index visually reveals a periodic pattern, from which the cyclo-period is obtained. Properties of the variability method are analyzed and compared with three existing cyclo-period estimation methods via simulation and real-life examples.