This paper presents a tutorial review of recent advances in the field of time–frequency (t, f)
signal processing with focus on exploiting (t, f) image feature information using pattern …

We present a review of the diversity of concepts and motivations for improving the
concentration and resolution of timefrequencydistributions (TFDs) along the individual …

A suitable temporal and spectral processing of the electrocardiogram (ECG) signals can
facilitate the visual interpretation and discrimination between known patterns for …

This paper presents a new method to detect linear frequency modulated (LFM) signals by
jointly using the local polynomial periodogram (LPP) and the Hough transform. Theoretical …

We describe a novel extension of the Poisson regression model to be based on a multi-layer
perceptron, a type of neural network. This relaxes the assumptions of the traditional Poisson …

The extraction of the frequency components of a signal can be useful for the characterization
of the underlying system. One method for isolating a frequency component of a signal is by …

Tourists' perspectives of Indigenous tourism and their preferences for this type of tourism
experience are not fully explored, particularly in Latin-American contexts. Understanding …

A class of time-frequency distributions with complex-lag argument is proposed. It is based on
the ambiguity domain representations of real and complex-lag moment, combined to provide …

Joint time-frequency representations offer a rich representation of event related potentials
(ERPs) that cannot be obtained through individual time or frequency domain analysis. This …

Data science has been empowered with the emerging concept of big data enabling data
scalability in many ways. Effective prediction systems for complex analytical problems …