Recently, a model-free and data-adaptive unfolding method, based on normal-mode analysis, was proposed and demonstrated for standard Gaussian ensembles of Random Matrix Theory (RMT). Here, the method is applied to a sparse matrix ensemble and to the $\nu-$Hermite ensemble. In correspondence ...
However, U is an orthogonal matrix, so UU* = I. Hence, ϕU(t→)=ϕ(t→)=exp(−12∑;=1nt;2). But the distribution of a random vector is uniquely determined by its characteristic function ([3], 10.6). Therefore, U(g→) is a standard Gaussian random vector. □ ...
The ssm function returns an ssm object specifying the functional form and storing the parameter values of a standard linear Gaussian state-space model for a latent state process xt possibly imperfectly observed through the variable yt.
Gaussian Filter Gradient Magnitude Gradient Phase Harris Corner Detection Non-Maximum Suppression: Threshold: Histogram Computation Histogram Equalization HOG HoughLines Preprocessing for Deep Neural Networks Pyramid Up Pyramid Down InitUndistortRectifyMapInverse InRange Integral Image ISP...
The result of on/off detection is obviously disturbed by Gaussian noise, while that of PNR detection is not. Li et al. Light: Science & Applications (2025)14:138 Page 3 of 11 SNSPD Mirror Lens MMF a Response Pulse PN Decoder Laser APNF COL TDC Active Photon Number Filter (APNF) b ...
Gaussian copula function A formerly praised and currently vilified formula, developed for Wall Street, that calculates the risk of default correlation (ie, the likelihood of two investment vehicles defaulting together). The formula uses the current market value of the vehicles, without factoring in ...
collapse all Demodulated signal, returned as a scalar, vector, or matrix. The value and dimension of this output vary depending on the specifiedOutputTypevalue, as shown in this table. OutputTypeValueReturn Value ofmil188qamdemodDimensions ofZ ...
ML - Random Forest ML - Confusion Matrix ML - Stochastic Gradient Descent Clustering Algorithms In ML ML - Clustering Algorithms ML - Centroid-Based Clustering ML - K-Means Clustering ML - K-Medoids Clustering ML - Mean-Shift Clustering ML - Hierarchical Clustering ML - Density-Based Clustering...
teststatistic. To perform a two-sided test at the α level of significance based on an analysis of a large sample, the null hypothesis β0can be rejected if the absolute value of the estimated test statistic is greater than the critical value ofzα/2, wherezhas a standardGaussian ...
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