K-complex is an underlying pattern in the sleep EEG. Due to the role of sleep studies inneurophysiologic and cognitive disorders diagnosis, reliable methods for analysis and detection of this patternare of great importance. In our previous work, Synchrosqueezing Transform (SST) was proposed for analysisof this pattern. SST is an EMD-like tool, which benefits from wavelet transform and reallocat...

This paper focuses on the problem of accurate Fault Characteristic Frequency (FCF) estimation of rolling bearing. Teager-Kaiser Energy Operator (TKEO) demodulation has been applied widely to rolling bearing fault detection. FCF can be extracted from vibration signals, which is pre-treatment by TEKO demodulation method. However, because of strong noise background of fault vibration signal, it is...

The nonlinear energy operator (x) _ x] 2 ? x x and its discrete-time counterpart have found numerous applications including development of the energy separation algorithm (ESA) for demodulat-ing AM-FM signals, tracking speech modulations, and detecting various events in nonstationary signals. In this paper we rst present some improvements on the energy operator and ESA when applied to demodulat...

A new method for fast and simple segmentation of peripheral blood smears using Teager energy operator (TEO) is presented. The two-pan algorithm efficiently segments leucocytes present in the smear into nucleus and cytoplasm. The local mean weighted high pass filtering property of Teager energy operator is used to identify and distinguish the nucleus of white blood cells. Cytoplasm present in th...

Abstract Fault detection and classification is a key challenge for the protection of High Voltage DC (HVDC) transmission lines. In this paper, Teager–Kaiser Energy Operator (TKEO) algorithm associated with decision tree-based fault classifier proposed to detect classify various faults. The Change Identification Filter applied average differential current components, first instant occurrence (ab...