Results 31 to 40 of about 716,617 (262)
Bispectrum Supersample Covariance
, 2018 Modes with wavelengths larger than the survey window can have significant impact on the covariance within the survey window. The supersample covariance has been recognized as an important source of covariance for the power spectrum on small scales, and ...
Chan, Kwan Chuen +2 more
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Transmit Optimization with Improper Gaussian Signaling for Interference Channels [PDF]
, 2013 This paper studies the achievable rates of Gaussian interference channels with additive white Gaussian noise (AWGN), when improper or circularly asymmetric complex Gaussian signaling is applied.
Guan, Yong Liang +4 more
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On Embedding Set Functions into Covariance Functions [PDF]
Transactions of the American Mathematical Society, 1973 We consider any continuous hermitian kernel M ( Δ , Δ ′ ) M(\Delta ,\Delta ’) on P × P \mathcal {P} \times \mathcal {P} where P \mathcal {P} is the prering of ...
openaire +2 more sources
Radial Covariance Functions Motivated by Spatial Random Field Models with Local Interactions
, 2014 We derive explicit expressions for a family of radially symmetric, non-differentiable, Spartan covariance functions in $\mathbb{R}^2$ that involve the modified Bessel function of the second kind. In addition to the characteristic length and the amplitude
Hristopulos, Dionissios T.
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The application of photogrammetric numerical methods to the analysis of eye lens digital images
Geodesy and Cartography, 2012 Research on the identification possibilities and accuracy of eye lens digital images applying the theory of photogrammetric numerical methods and of covariations functions is presented.
Jonas Skeivalas +3 more
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The application of photogrammetric numerical methods to the analysis of magnetic resonance images
Geodesy and Cartography, 2012 Research on the identification possibilities and accuracy of digital images applying the theory of covariations functions is presented. The digital magnetic resonance images are processed by Matlab 7 computer program. The digital magnetic resonance image
Jonas Skeivalas, Romualdas Kizlaitis
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A finite-difference method for linearization in nonlinear estimation algorithms [PDF]
Modeling, Identification and Control, 1998 Linearizations of nonlinear functions that are based on Jacobian matrices often cannot be applied in practical applications of nonlinear estimation techniques. An alternative linearization method is presented in this paper.
Tor S. Schei
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IEEE Access, 2021 Covariance analysis describing function technique is a conventional method to solve the performance analysis of the nonlinear missile guidance system. Aiming at the faultiness of covariance analysis describing function technique and its improved method ...
Quancheng Li +4 more
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Estimating Mean and Covariance Structure with Reweighted Least Squares [PDF]
, 2020 Does Reweighted Least Squares (RLS) perform better in small samples than maximum likelihood (ML) for mean and covariance structure? ML statistics in covariance structure analysis are based on the asymptotic normality assumption; however, actual ...
Zheng, Bang Quan
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, 2011 Using 1000 ray-tracing simulations for a {\Lambda}-dominated cold dark model in Sato et al. (2009), we study the covariance matrix of cosmic shear correlation functions, which is the standard statistics used in the previous measurements.
Albrecht +29 more
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