An Improved R-Peaks Marking Method Using Fourier Decomposition and Teager Energy Operator

An Improved Speech Enhancement Method based on Teager Energy Operator and Perceptual Wavelet Packet Decomposition

According to the distribution characteristic of noise and clean speech signal in the frequency domain, a new speech enhancement method based on teager energy operator (TEO) and perceptual wavelet packet decomposition (PWPD) is proposed. Firstly, a modified Mask construction method is made to protect the acoustic cues at the low frequencies. Then a level-dependent parameter is introduced to furt...

Speech enhancement using empirical mode decomposition and the Teager-Kaiser energy operator.

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,...

On the positivity of an energy operator: the interplay of amplitude and phase modulation in the Teager-Kaiser energy operator

An Efficient Method for GPS Multipath Mitigation Using the Teager-Kaiser-Operator-Based MEDLL

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 Robust Image Authentication Method Based on Wavelet Transform and Teager Energy Operator

A novel digital watermarking for image authentication is proposed in this paper. Most previous proposed watermarking algorithms embed sequences of random numbers as watermarks. Here images are taken as watermarks for embedding. In the proposed approach, the host image is decomposed into wavelet coefficients. Local entropies of wavelet coefficients in the low-frequency subband are calculated by ...