Abstract Diffractions are seismic waves generated by small-scale heterogeneities in the subsurface. These often superimposed strong reflections so that they not visible on image, leading to misinterpretation and incorrect localization of scatterers. Therefore, separation diffracted reflected is a crucial step identifying these diffractors. To realize diffraction imaging, least-squares reverse t...

In the analysis of group fMRI scans, an optimal spatial filter should be large enough to accurately blend functionally homologous anatomic regions, yet small enough not to blur the functionally distinct regions. Hanning filters varying from 0.0 to 18.0 mm were evaluated in a group analysis of six healthy controls performing a simple finger-tapping paradigm. Test-retest reliability and Talairach...

In order to enhance automatic speech recognition performance in adverse conditions, Gabor features motivated by physiological measurements in the primary auditory cortex were optimized and evaluated. In the Aurora 2 experimental setup such localized, spectro-temporal filters combined with a Tandem system yield robust performance with a feature set size of 30. Improved results can be obtained wh...

In a world where authentication and privacy are taking a lot of our daily efforts, it is becoming more important for us to prove our identity to different systems every day so that we can access required and useful services. The problem addressed in this research is speaker verification as it involves knowing the identity of a given speaker using a predefined set of samples. The steps of this p...

This paper proposes an on-off coupling process for chaos synchronization and information processing. An in depth analysis for the net effect of a conventional coupling is performed. The stability of the process is studied. We show that the proposed controlled coupling process can locally minimize the smoothness and the fidelity of dynamical data. A digital filter expression for the on-off coupl...

Cohen's class of Time-Frequency Distributions (CTFDs), which includes the spectrogram and the Wigner-Ville distribution, has significant potential for the analysis of non-stationnary signals. In order to efficiently compute long signals time-frequency representations, we propose fast algorithms using a recursive approach. First, we introduce a recursive algorithm dedicated to the spectrogram co...

A jump process approach is proposed for the trend estimation of time series. The proposed jump process estimator can locally minimize two important features of a trend, the smoothness and 0delity, and explicitly balance the fundamental tradeo2 between them. A weighted average form of the jump process estimator is derived. The connection of the proposed approach to the Hanning 0lter, Gaussian ke...

Fast Fourier Transform (FFT) is a commonly used method in electronic support systems for frequency parameter estimation. If the of radar signal not an exact multiple resolution, this will usually appear inter-line position when FFT applied. To improve accuracy estimated frequency, interpolation techniques are to find peak between two spectral lines. In study, by employing three different (Ding,...

The widespread use of devices based on power electronics and other nonlinear loads has led to an increase in harmonic distortion that affects the quality systems. Therefore, correct measurement interharmonic content is necessary. International Electrotechnical Commission (IEC) standards define concepts spectral time grouping required for such measurements. This paper demonstrates procedures def...