This paper deals with the problem of extracting information from non-stationary signals in the
form of features that can be used for effective decision-making in both data analysis and …

A decision support system for automated detection of sleep stages can alleviate the burden
of medical professionals of manually annotating a large bulk of data, expedite sleep disorder …

This paper presents high-resolution multisensor time–frequency distributions (MTFDs) and
their applications to the analysis of multichannel non-stationary signals. The approach …

This paper proposes a new performance evaluation process for time-frequency distributions
(TFD) by designing a reference optimal TFD and novel accuracy and resolution measures …

The standard chirplet transform (CT) with the chirp-modulated Gaussian window provides a
valuable tool for analyzing linear chirp signals. The parameters present in the window …

Direction of arrival (DOA) estimation of underwater multipath signals has become an
indispensable part of many military and civil applications in the oceanic field. However …

In this paper, we develop a novel method to enable robust sparsity-based time-frequency
representation of multi-component frequency modulated signals in the presence of burst …

The use of linear time-frequency (TF) representa-tions as instantaneous frequency (IF)
estimators arises in various fundamental disciplines, mainly thanks to their simplicity and …

This paper addresses the problem of estimating the parameters of adaptive directional time–
frequency distributions (ADTFDs). ADTFDs locally optimize the direction of the smoothing …

This study proposes a novel high-resolution time–frequency distribution (TFD) that is based
on the iterative application of the locally adaptive directional kernel for both mono-sensor …