In modern days the need of speech signal processing using energy operators has drawn a lot of attention for researchers. The use of Teager Energy Operator and other differential energy operators in signal processing enables us a lot of new techniques to estimate and process the speech signal in noisy environment. In this paper we shall discuss the speech signal processing using the nonlinear en...

Currently, neural network algorithms based on time-domain features are used for change-point detection problems, and they have proven to be effective. However, due the instability of human biosignals, establishing a training dataset with labels is difficult. For supervised learning methods, wherein parameters updated small sample set through feed-forward mechanism, it difficult ascertain degree...

An efficient method for GPS multipath mitigation is proposed. The motivation for this proposed method is to integrate the Teager-Kaiser Operator (TKO) with the Multipath Estimating Delay Lock Loop (MEDLL) module to mitigate the GPS multipath efficiently. The general implementation process of the proposed method is that we first utilize the TKO to operate on the received signal’s Auto-Correlatio...

A temporal analysis of electromyographic (EMG) activity has widely been used for non-invasive study of muscle activation patterns. Such an analysis requires robust methods to accurately detect EMG onset. We examined whether data conditioning, supplemented with Teager-Kaiser Energy Operator (TKEO), would improve accuracy of the EMG burst onset detection. EMG signals from vastus lateralis, collec...

Line-of-sight signal delay estimation is a crucial element for any mobile positioning system. Estimating correctly the delay of the first arriving path is a challenging topic in severe propagation environments, such as closely spaced multipaths in multiuser scenario. Previous studies showed that there aremany linear and nonlinear techniques able to solve closely spacedmultipaths when the system...