An adaptive time-frequency representation (TFR) with higher energy concentration usually
requires higher complexity. Recently, a low-complexity adaptive short-time Fourier transform …

This book is a result of more than twenty years of research and education in the area of time-
frequency signal analysis and signal theory, in general. The book presents time-frequency …

The adaptive short-time Fourier transform with chirp-modulated Gaussian window (ASTFT-
CMGW), a recently developed time-frequency analysis method, presents a high energy …

A new bearing fault diagnosis method based on auto term window (ATW) method is
proposed in this paper. Ball bearing is the foremost important and also much easier to be …

An intelligent system for automatic partial discharge pattern recognition is proposed using
adaptive optimal kernel time-frequency representation and a fuzzy k-nearest neighbor …

Cross time–frequency distribution (XTFD), unlike the quadratic time–frequency distribution
(QTFD), can represent phase information for phase shift keying (PSK) signals such as binary …

Time-varying signals such as frequency shift-keying (FSK) signals can be characterized by
the instantaneous frequency (IF). From the estimated IF, it is possible to derive the signal …

A rolling element bearing fault recognition approach is proposed in this paper. This method
combines the basic Higher-order spectrum (HOS) theory and fuzzy clustering method in data …

This article presents a novel algorithm based on the cross-Wigner-Ville Distribution (XWVD)
for optimum phase estimation within the class of phase shift keying signals. The proposed …

A fuzzy clustering bispectrum estimation approach is proposed in this paper and applied on
the rolling element bearing fault recognition. The method combines the basic higher order …