Results 161 to 170 of about 2,383,288 (179)
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Receptor dynamics using correlation techniques
Medical & Biological Engineering, 1974A technique is described for the measurement of the frequency response of a sensory receptor. The input function (stimulus) consists of a wide-spectrum binary signal and correlation techniques are used to recover information from the output pulse train (afferent neural discharge). The method has been tested using an electronic model.
J, Ponte, M J, Purves
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Correlation distance of dynamic speckles
Applied Optics, 1983The translational and boiling motions of dynamic speckles produced in the Fresnel diffraction field under illumination of a Gaussian beam are investigated in detail. The speckle motion is analyzed from the space-time cross-correlation function of speckle intensity fluctuations detected at the two points in the receiving plane.
N, Takai, T, Iwai, T, Asakura
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Dynamically Spatiotemporal Regularized Correlation Tracking
IEEE Transactions on Neural Networks and Learning Systems, 2019Recently, due to the high performance, spatially regularized strategy has been widely applied to addressing the issue of boundary effects existed in correlation filter (CF)-based visual tracking. Specifically, it introduces a spatially regularized term to penalize the coefficients of the CFs to be learned depending on their spatial locations.
Yuhui Zheng +4 more
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Regime switching for dynamic correlations [PDF]
Journal of Econometrics, 2006 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Correlation properties of heartbeat dynamics
European Biophysics Journal, 2008In this study, we investigate correlation properties of fluctuations in heart interbeat (RR) time series in a broad range of physiological and pathological conditions. Using detrended fluctuation analysis (DFA) method we determined short-term (alpha 1) and long-term (alpha 2) scaling exponent.
Mirjana M, Platisa, Vera, Gal
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Dynamic Conditional Correlation
Journal of Business & Economic Statistics, 2002Time varying correlations are often estimated with multivariate generalized autoregressive conditional heteroskedasticity (GARCH) models that are linear in squares and cross products of the data. A new class of multivariate models called dynamic conditional correlation models is proposed.
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Dynamic correlation of rolandic spikes
Brain Topography, 1990The spike discharge from 11 children with benign rolandic epilepsy was analyzed using both linear and non-linear regression techniques to estimate the correlation between different scalp regions. To preserve temporal information, short (200 msec.) overlapping windows were used during computation, covering the initial fast and later slow components of ...
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Dynamic Optical Correlation Using Localized Holography
Frontiers in Optics, 2005A new technique for optical correlation using gated holographic recording is demonstrated. Several persistent holograms are localized within separate slices as close as 33 microm apart along the crystal. Individual holograms can be dynamically erased and rerecorded with no need to refresh all other recorded holograms.
Karbaschi, Arash +2 more
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Dynamical correlations in liquid hydrogen–sulphide
The Journal of Chemical Physics, 1990The analysis of the density fluctuations in liquid H2S has been performed by applying a recently proposed theoretical method. Computer simulation results for the correlation functions and the corresponding spectra are reported and compared with the theoretical predictions. A discussion of the differences between the results obtained for H2S and H2O, at
Ricci, M. A. +3 more
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Dynamical and Nondynamical Correlation
The Journal of Physical Chemistry, 1996The variation of correlation energies with bond distances of various first row diatomic molecules has been studied. Self-consistent field and complete active space self-consistent field potential curves of these molecules have been calculated. Exact potential energy curves are constructed from experimental data using the Rydberg−Klein−Rees method. With
Daniel K. W. Mok +2 more
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