Detection of pre-seizure signs in epileptic signals may help patients to survive the seizure with minimal damage. This study aims detect patterns using EEG datasets five patients. The signals' maximum power spectral density (PSD) and high-frequency oscillations (HFOs) are investigated. PSDs all patients' calculated, subbands PSD examined. It is observed that 95%, 85%, 75%, 80% channels sum delt...

The compound behavior of the magnetic recording channel is modeled by combining the Lorentzian read-back pulse, the microtrack channel model, and additive white Gaussian noise (AWGN). By noting that at the output of this model the read-back signal is cyclostationary, the average autocorrelation function and corresponding power spectral density over one period are computed. The average power spe...

Spectral densities of the response of nonlinear systems to white noise excitation are considered. By using a formal solution of the associated Fokker-Planck-Kolmogorov equation, response spectral densities are represented by formal power series expansion for large frequencies. The coe cients of the series, known as the spectral moments, are determined in terms of rst-order response statistics. ...

In this paper, the Power Spectral Density of encoded Gaussian Minimum Shift Keying (GMSK) which is the Signaling Scheme of the Global System for Mobile Communication (GSM) is derived by a combined approach of the autocorrelation method and Markov Process. In the analysis, the Amplitude Modulated Pulse decomposition proposed by P. Laurent is employed to ease computation. Encoding of the message ...

This paper presents new spectrum sensing algorithms based on the cumulative power spectral density (CPSD). The proposed detectors examine the CPSD of the received signal to make a decision on the absence/presence of the primary user (PU) signal. Those detectors require the whiteness of the noise in the band of interest. The false alarm and detection probabilities are derived analytically and si...

Gaussian Minimum Shift Keying (GMSK) modulation is widely used in cellular and PCS applications. The popular GSM system uses GMSK. One of the important considerations in the use of modulation is the average power spectral density (psd) and especially the spectral density characteristics on the tails. No method, other than simulation, is currently available to determine the psd of GMSK. In this ...

Introduction: Brain Computer Interface (BCI) systems based on Movement Imagination (MI) are widely used in recent decades. Separate feature extraction methods are employed in the MI data sets and classified in Virtual Reality (VR) environments for real-time applications. Methods: This study applied wide variety of features on the recorded data using Linear Discriminant Analysis (LDA) classifie...

One of the methods used in clinical setting to assess the balance function is the measurement of the centre of pressure trajectory (COP). The COP trajectory is strongly dependent on the body centre of mass trajectory (COM), but in case of balance problems the corrective signals influence this dependence. The aim of the present study is to explore the possibility of using power spectral density ...

The 2-dimensional Power Spectral Density (PSD) can be used to characterize the midand the high-spatial frequency components of the surface height errors of an optical surface. We found it necessary to have a complete, easy-to-use approach for specifying and evaluating the PSD characteristics of large optical surfaces, an approach that allows one to specify the surface quality of a large optical...