Electroencephalography (EEG) is the most popular brain activity recording technique used
in wide range of applications. One of the commonly faced problems in EEG recordings is the …

Nonstationary signal analysis is one of the main topics in the field of machinery fault
diagnosis. Time–frequency analysis can identify the signal frequency components, reveals …

Cryogenic electron microscopy (cryo-EM) is widely used to study biological macromolecules
that comprise regions with disorder, flexibility or partial occupancy. For example, membrane …

Most of the real-life signals are non-stationary in nature. The examples of such signals
include biomedical signals, communication signals, speech, earthquake signals, vibration …

Since the beginning of electron microscopy, resolution has been a critical parameter. In this
article, we propose a fully automatic, accurate method for determining the local resolution of …

An efficient solution to the fundamental problem of estimating the time-varying amplitude
envelope and instantaneous frequency of a real-valued signal that has both an AM and FM …

Computer-aided sleep monitoring system can effectively reduce the burden of experts in
analyzing the large volume of electroencephalogram (EEG) recordings corresponding to …

A new method, the Hilbert–Huang Transform (HHT), developed initially for natural and
engineering sciences has now been applied to financial data. The HHT method is specially …

Planetary gearboxes play an important role in wind turbine drive trains. Fault diagnosis of
planetary gearboxes is a key topic for maintenance of wind turbines. Considering the …

A nonlinear energy operator (NEO) gives an estimate of the energy content of a linear
oscillator. This has been used to quantify the AM-FM modulating signals present in a …