The study purpose was to evaluate the use of computer-automated algorithms as a replacement for subjective, visual determination of muscle contraction onset using M-mode ultrasonography. Biceps and quadriceps contraction images were analyzed visually and with three different classes of algorithms: pixel standard deviation (SD), high-pass filter and Teager Kaiser energy operator transformation. ...

The higher order differential energy operator (DEO), denoted via Υk(x), is an extension to the second order famous Teager-Kaiser operator. The DEO helps measuring the higher order gauge of energy of a signal which is useful for AM-FM demodulation. However, the energy criterion defined by the DEO is not compliant with the presumption of positivity of energy. In this paper we introduce a higher o...

In this paper, a feature extraction algorithm for robust speech recognition is introduced. The feature extraction algorithm is motivated by the human auditory processing and the nonlinear Teager-Kaiser energy operator that estimates the true energy of the source of a resonance. The proposed features are labeled as Teager Energy Cepstrum Coefficients (TECCs). TECCs are computed by first filterin...

This paper deals with the condition monitoring of a wind turbine gearbox under varying operating conditions, which cause nonstationarity. The gearbox vibration signals are decomposed into a set of monocomponent signals using the Empirical Mode Decomposition (EMD) method. The Teager-Kaiser Energy Operator (TKEO) in combination with an energy separation method is also presented as an alternative ...

A new algorithm is proposed for demodulating discrete-time AM-FM signals, which first interpolates the signals with smooth splines and then uses the continuous-time energy separation algorithm (ESA) based on the Teager-Kaiser energy operator. This spline-based ESA retains the excellent time resolution of the ESAs based on discrete energy operators but performs better in the presence of noise. F...

In this paper, a new approach for target recognition based on the Empirical mode decomposition (EMD) algorithm of Huang et al. [11] and the energy tracking operator of Teager [13]-[14] is introduced. The conjunction of these two methods is called TeagerHuang analysis. This approach is well suited for nonstationary signals analysis. The impulse response (IR) of target is first band pass filtered...