The development of an algorithm for automatic detection of sperm whale clicks in large recordings is described. It is based on the Teager–Kaiser (TK) energy operator and it is able to detect efficiently creaks as well as regular clicks. A matching filter is first used as a pre-processor in order to overcome the difficulties caused by the multi-pulse structure of regular clicks. Next, the TK ene...

This paper proposes the use of the Teager–Kaiser energy operator (TKEO) for the detection of a broken rotor bar (BRB) in a squirrel cage induction generator, which is used usually in wind energy systems. The TKEO is investigated using the non-stationary signals representation in the time/frequency domain by sensing the estimation of the instantaneous amplitudes and frequencies present on the st...

In white-light interference microscopy, measurement of surface shape generally requires peak extraction of the fringe function envelope. In this paper the Teager-Kaiser energy and higher-order energy operators are proposed for efficient extraction of the fringe envelope. These energy operators are compared in terms of precision, robustness to noise, and subsampling. Flexible energy operators, d...

In this paper a speech denoising strategy based on time adaptive thresholding of intrinsic modes functions (IMFs) of the signal, extracted by empirical mode decomposition (EMD), is introduced. The denoised signal is reconstructed by the superposition of its adaptive thresholded IMFs. Adaptive thresholds are estimated using the Teager-Kaiser energy operator (TKEO) of signal IMFs. More precisely,...

It is hypothesized that a key characteristic of electrocardiogram (ECG) signal is its nonlinear dynamic behaviour and that the nonlinear component changes more significantly between normal and arrhythmia conditions than the linear component. The usual statistical descriptors used in RR (R to R) interval analysis do not capture the nonlinear disposition of RR interval variability. In this paper ...

In this paper, we proposed a new noise suppression method based on Teager Energy Operator in advancing the noise robustness of speech recognition front-end. The presented method attempts to remove a distortion estimation in Teager energy domain, especially, a Teager energy estimation of noise signal is subtracted from the noisy speech signal. This approach differs significantly from the traditi...

In previously published work, we have proposed a novel feature extraction algorithm, based on the Teager-Kaiser energy estimates, that approximates human auditory characteristics and that is more robust to sub-band noise than the mean-square estimates of standard MFCCs. We refer to the novel features as Teager energy cepstrum coef cients (TECC). Herein, we study the TECC performance under addit...

The focal shift for a lens of finite value of Fresnel number can be defined in terms of the second moment of the intensity distribution in transverse planes. The connection with the optical transfer function is described. The specification of the focused amplitude in terms of the fractional Fourier transform is discussed, and the connections among the fractional Fourier transform, the Wigner di...

In this paper,. an novel method based on the phase information of continuous wavelet transform to estimate the instantaneous parameter of AM-FM signal is introduced, and some strategies, including the determination of initial value in iteration and post-processing to the estimated results, to improve the performance of the algorithm are proposed. Compared to several other instantaneous paramete...

The gear faults are time-localized transient events so time-frequency analysis techniques (such as the Short-Time Fourier Transform, Wavelet Transform, motor current signature analysis) are widely used to deal with non-stationary and nonlinear signals. Newly developed signal processing techniques (such as empirical mode decomposition and Teager Kaiser Energy Operator) enabled the recognition of...