Results 61 to 70 of about 286,009 (201)
INFORMATION PROCESSING WITH AN OPTICAL SENSOR WHEN INCOMPLETE INITIAL INFORMATION
The range of tasks, solved by the properties of classification and generalization, is quite broad. However, the quality of solving to the problem, for one reason or another, is not always the same.
Igor Parkhomey +3 more
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A classical long-time tail in a driven granular fluid
I derive a mode-coupling theory for the velocity autocorrelation function, \psi(t), in a fluid of randomly driven inelastic hard spheres far from equilibrium.
Kranz, W. Till
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Modeling and performance study of direct and indirect radio propagation environment in auditorium
According to the wireless channel of typical hall environment in the direct and non direct situation, this paper puts forward an improvement of geometric scattering model reference model based on the assumption of scattering propagation environment.
Wu Peng +3 more
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Optimal periodic binary codes of lengths 28 to 64 [PDF]
Results from computer searches performed to find repeated binary phase coded waveforms with optimal periodic autocorrelation functions are discussed. The best results for lengths 28 to 64 are given.
Keston, R., Tyler, S.
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Cross-Section Fluctuations in Chaotic Scattering
For the theoretical prediction of cross-section fluctuations in chaotic scattering, the cross-section autocorrelation function is needed. That function is not known analytically.
Dietz, B. +4 more
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Characterization of the Partial Autocorrelation Function
The conditions $|\phi_k| \leqq 1$ for all $k = 1,2, \cdots$ and $|\phi_k| = 1$ implies $\phi_{k+1} = \phi_k$ are both necessary and sufficient for a sequence of real numbers $\{\phi_k; k = 1,2, \cdots\}$ to be the partial autocorrelation function for a real, discrete parameter, stationary time series.
openaire +2 more sources
The Autocorrelation Function Denoising Algorithm Based on Convolutional Neural Networks
To enhance the image reconstruction quality of the Nth-order linear (NL) linear algorithm, this study proposes a convolutional neural network (CNN)-based denoising method, named Dilated Conv-Resnet model, that processes noisy electric field temporal ...
Xiaojuan Zhang +5 more
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Compressive Estimation of a Stochastic Process with Unknown Autocorrelation Function
In this paper, we study the prediction of a circularly symmetric zero-mean stationary Gaussian process from a window of observations consisting of finitely many samples.
Caire, Giuseppe +3 more
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Autocorrelation of the Mobius Function
Let $x\geq 1$ be a large integer, and let $μ:\mathbb{N}\longrightarrow\{-1,0,1\}$ be the Mobius function. This article proposes an effective asymptotic result for the autocorrelation function $\sum_{n \leq x} μ(n) μ(n+t) =O\left( e^{-c\sqrt{\log x}}\right) $, where $t\ne 0$ be a small fixed integer, and $c>0$ is a constant.
openaire +2 more sources
SEASONAL ADJUSTMENT AND FORECASTING OF THE ROMANIAN AGRICULTURAL EMPLOYMENT RATE [PDF]
The economic policy directly related to employment and labour force aims the economic growth and the increase of the living standard using the best the capacities of economy: increasing productivity, reducing unemployment, using a larger proportion of ...
Calcedonia ENACHE
doaj

