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 …

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 …

Spectrum sensing is the very task upon which the entire operation of cognitive radio rests.
For cognitive radio to fulfill the potential it offers to solve the spectrum underutilization …

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 …

The principles of cognition are becoming increasingly important in the areas of signal
processing, communications and control. In this groundbreaking book, Simon Haykin, a …

This book organizes principles and methods of signal processing and machine learning into
the framework of coherence. The book contains a wealth of classical and modern methods …

This paper addresses the problem of passive detection of surface ships from radiated
propeller noise in the far field. This is traditionally accomplished by means of envelope …

An operational framework is developed for testing stationarity relatively to an observation
scale, in both stochastic and deterministic contexts. The proposed method is based on a …

Cyclostationary models for the diagnostic signals measured on faulty rotating machineries
have proved to be successful in many laboratory tests and industrial applications. The …

Signal classification is important in various commercial and military applications. Multiple
antenna systems complicate the signal classification problem since there is now the issue of …