Highlights•Fundamental caveats and confounds in the methodology of assessing CFC are
discussed.•Significant CFC can be observed without any underlying physiological …

The ever-increasing demand for higher data rates in wireless communications in the face of
limited or underutilized spectral resources has motivated the introduction of cognitive radio …

A classical symptom of rotating machines faults in vibration signals is the presence of
repetitive transients, whose distinctive signature is both impulsive and cyclostationary …

This paper is a tutorial on cyclostationarity oriented towards mechanical applications. The
approach is voluntarily intuitive and accessible to neophytes. It thrives on 20 examples …

Wireless signal recognition plays an important role in cognitive radio, which promises a
broad prospect in spectrum monitoring and management with the coming applications for …

Wind energy is a rapidly growing source of renewable energy generation. However, the
current extra-market approach to its assimilation into the electric grid will not scale at deep …

A concise survey of the literature on cyclostationarity of the last 10 years is presented and an
extensive bibliography included. The problems of statistical function estimation, signal …

Automated Modulation Classification (AMC) has been applied in various emerging areas
such as cognitive radio (CR). In our paper, we propose a deep learning-based AMC method …

The development of a reliable and automated condition monitoring methodology for the
detection of mechanical failures in rotating machinery has garnered much interest in recent …

Community shared bicycle systems, such as the Vélo'v program launched in Lyon in May
2005, are public transportation programs that can be studied as a complex system …