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Use of Hazard Function for Signal Detection on Ionograms that statistical signal-to-noise ratios are similar to those considered here.

The Quality Indicators of the Processing Procedure for a Spread Spectrum Signal Using Statistical Modeling Investigation position of spread spectrum signal is shown. The results of the statistical modeling are presented: RMS

Extraction of reliable information from hme-domain pressure and flow signals measured by means of forced oscillation techniques novel signal processing algorithm is employed on non-stationary, noisy, (relatively) short time series

Dynamic effects and information quantifiers of statistical memory of Meg's signals at photosensitive epilepsyThe time series analysis of magnetoencephalographic (MEG) signals is very important both for basic

Statistical memory of meg signals at photosensitive epilepsyHere we discuss the remarkable role of the statistical memory effects in the human brain

Extraction of reliable information from hme-domain pressure and flow signals measured by means of forced oscillation techniques novel signal processing algorithm is employed on non-stationary, noisy, (relatively) short time series

Dynamic effects and information quantifiers of statistical memory of Meg's signals at photosensitive epilepsyThe time series analysis of magnetoencephalographic (MEG) signals is very important both for basic

Statistical memory of meg signals at photosensitive epilepsyHere we discuss the remarkable role of the statistical memory effects in the human brain

Algorithms of quasi evaluation of polynomial trend of the digital signals based on oblique discrete walsh transformations algorithms at synthesizing a quasi-evaluation of polynomial trend models of digital signals. We consider

Сравнительный анализ алгоритмов слежения за фазой шумоподобного сигнала of phase-lock control system are suggested and described. Statistic simulations of signal processing

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