Data analysis has been one of the core activities in scientific research, but limited by the
availability of analysis methods in the past, data analysis was often relegated to data …

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 …

Changing frequencies is one of the most primitive sensations since we are sur-rounded by
light of changing color, by sounds of varying pitch, and by many other phenomena whose …

This book is written for scientists and engineers who use HHT (HilbertOCoHuang Transform)
to analyze data from nonlinear and non-stationary processes. It can be treated as a HHT …

A physiological signal-based emotion recognition system is reported. The system was
developed to operate as a user-independent system, based on physiological signal …

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 …

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 …

Instantaneous frequency (IF) is necessary for understanding the detailed mechanisms for
nonlinear and nonstationary processes. Historically, IF was computed from analytic signal …

This paper presents an approach to implement vibration, pressure, and current signals for
fault diagnosis of the valves in reciprocating compressors. Due to the complexity of structure …

A compact and efficient algorithm for digital envelope detection in white light interferograms
is derived from a well-known phase-shifting algorithm. The performance of the new …