Vibration signal analysis is crucial for gearbox fault diagnosis, yet its inherent stochastic
nature can challenge the identification of fault-induced changes amidst signal variability …

This article presents a general methodology for processing non-stationary signals for the
purpose of classification and localization. The methodology combines methods adapted …

This paper investigates the circularity of short time Fourier transform (STFT) coefficients
noise only, and proposes a modified STFT such that all coefficients coming from white …

The traditional frame-based speech features such as Mel-frequency cepstral coefficients
(MFCCs) are specifically developed for speech/speaker recognition tasks. Speech is …

Time-frequency distributions (TFDs) based on time-lag kernels with compact support (KCS)
have proved their high performance in terms of resolution and crossterms suppression …

Exponential sweeps are widely used to measure impulse responses of electro-acoustic
systems. Measurements are often contaminated by environmental noise and nonlinear …

Carrying out information about the microstructure and stress behaviour of ferromagnetic
steels, magnetic Barkhausen noise (MBN) has been used as a basis for effective non …

This paper presents a segmentation algorithm of a Time-Frequency Representation, which
automatically selects time-frequency patterns containing signal of interest. Considering a …

In this paper we present a noise level estimator using minimal values of the Short Time
Fourier Transform of a signal embedded in a white Gaussian noise. The spectral kurtosis of …

As a specific case of chirp component, the short-time chirp component (STCC) only
continues a duration in a reference interval with a birth and death. A STCC usually …