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ENTANGLEMENT AND AUTOCORRELATION FUNCTION IN SEMICONDUCTOR MICROCAVITIES
The autocorrelation function of the light emitted by a microcavity containing a semiconductor quantum well in the nonstationary regime is investigated. An analytical expression in the weak pumping and strong coupling regime is derived. Furthermore, it is shown that the initial entangled state can be deduced from the nonstationary autocorrelation ...
H. ELEUCH
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A note on the sum of the sample autocorrelation function
It is shown that the sum of the sample autocorrelation function at lag h≥1 is always for any stationary time series with arbitrary length T≥2 (Hassani, 2009 [1]).
Hossein Hassani
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Ocean wave autocorrelation function
Applied Mathematics and Computation, 2022zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Calculation of a ‘‘narrowed’’ autocorrelation function
The Journal of the Acoustical Society of America, 1989A method of calculating an autocorrelation function with extremely narrow peaks is described. This is done by including terms in the autocorrelation expression corresponding to delays at 2τ, 3τ, etc., in addition to the usual term with delay τ. Implications in the frequency domain are explored.
J C, Brown, M S, Puckette
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On the geometric autocorrelation function of polycrystalline materials
Herein we derive an expression for direct determination of the geometric autocorrelation function W of a polycrystalline material from images of its grain boundary network (e.g., those delivered by orientation imaging microscopy).
Chi-Sing Man, Roberto Paroni
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Distribution of the autocorrelation of random Boolean functions
Cryptography and Communications, 2023zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Rodier, François +2 more
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Use of the autocorrelation function in the classification of switching functions
Proceedings Euromicro Symposium on Digital System Design. Architectures, Methods and Tools, 2003Four operations on switching functions are used to define a classification technique based on the autocorrelation function. The relationship between these classes and the well-known spectral classes is investigated, and a canonical representative for each class is proposed.
Jacqueline E. Rice, Jon C. Muzio
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The autocorrelation function for squares white noises
The Autocorrelation Function (ACF) was originally studied as a tool for analyzing dependence for Gaussian time series and linear models. The consistent ACF estimator (the sample autocorrelation) is commonly used. A well known theorem defines the asymptotical behavior of the estimator for a white noise process.
DE LUCA, GIOVANNI, GOLIA S.
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Sample Partial Autocorrelation Function
IEEE Transactions on Signal Processing, 1993A new estimation procedure for a partial autocorrelation coefficient of a stationary time series based on a natural geometrical analysis of the sample data is proposed. A method for autoregressive parameter estimation, which is midway between the constrained least squares procedure of Burg and the unconstrained one given by the for- ward-backward least
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Behavior of Autocorrelation Functions
Physical Review A, 1972This paper is concerned with the behavior of the autocorrelation and memory functions of statistical mechanics as $t\ensuremath{\rightarrow}\ensuremath{\infty}$. A simple calculation shows that for a large class of models leading to power-law behavior, the two functions have opposite sign and common functional behavior in the limit $t\ensuremath ...
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