The Hilbert transformation together with empirical mode decomposition (EMD) produces Hilbert spectrum (HS) which is a fine-resolution timefrequency (TF) representation of any nonlinear and non-stationary signal. A method of audio signal separation from stereo mixtures based on the spatial location of the sources is presented in this paper. The TF representation of the audio signal is obtained b...

This paper aims to address the difficult pinpoint fault cause of full parallel AT traction power supply system with special structure. The characteristics are easily covered up, and high transition impedance only affects singularity wavehead, making traveling waves hard identify. Moreover, classification accuracy traditional time-frequency analysis method is not sufficiently distinguish precise...

Large diesel engines with a high number of cylinders usually have high speed, complex crankshaft and load, which strongly complicate the diagnostics based on the instantaneous angular speed (IAS). In order to improve the discrimination of the fault features, the ensemble empirical mode decomposition (EEMD) is proposed to analyze the IAS signal. Experiments are performed on a V12 diesel engine w...

The record of human brain neural activities, namely electroencephalogram (EEG), is known to be nonstationary in general. In addition, the human head is a non-linear medium for such signals. In many applications, it is useful to divide the EEGs into segments in which the signals can be considered stationary. Here, Hilbert-Huang Transform (HHT), as an effective tool in signal processing is applie...

An understanding of physiological time series such as the heart-beat intervals is important to many areas, like heart-attack prediction, cardiovascular health, sport and exercise, etc. The study of time series can reveal underlying mechanisms of the physiological system, which usually contains both deterministic and stochastic components. Therefore the analysis of time series is very complicate...

Identifying key elements of the ECG signal in modern day's diagnostic devices is crucial. Making a preliminary assessment of a patient during emergency situations, i.e. before arriving to the hospital, is starting to be a generally accepted practice in more and more countries. This article proposes a possible method of differentiating the T-wave from other features of the ECG signal based on th...