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By applying mixed interpolation methods with arbitrary nodes for approximating real functions and the eigenvalues of the given matrix A, we propose a definition for computing the matrix function f(A).
The new framework can be used to characterize arbitrary linear diffusion estimation methods with arbitrary q-space sampling, and can be used to theoretically evaluate and compare the accuracy, resolution, and noise-resilience of different data acquisition and parameter estimation techniques.
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We observe that numerical solutions produced by the exponential Euler method with arbitrary step-sizes (h>0) are all stable.
In this paper, we provide an overview of pulse shaping methods in OFDM systems and propose a new pulse-shaped design method with arbitrary length constraint and good time-frequency localization property.
Specifically, the contributions of this paper are as follows: a comprehensive overview of pulse shaping methods in OFDM systems is provided, followed by a new pulse shape design method with arbitrary length constraint, which maintains orthogonality while providing good time-frequency localization property.
The first half of the optimization is based on GGD-ILRMA with β=2 and p=1, and the second half is the proposed method with arbitrary parameters, where the NMF source model is retrained using the temporary estimated signal after the first-half optimization.
In this study we use a Discontinuous Galerkin Spectral Element method (DGSEM) with Arbitrary Lagrangian Eulerian (ALE) mapping for the spatial approximation, but the boundary states can be used with other methods, like finite volume schemes.
Our method deals with arbitrary experimental designs and performs competitively with alternative approaches, while making the search results interpretable in terms of differential expression patterns.
High order Runge Kutta time-discretization techniques are employed, and different methods of dealing with arbitrary coupled boundary conditions are discussed.
This paper generalizes a pivotal result from the PAC-Bayesian literature —the C−bound— primarily designed for binary classification to the general case of ensemble methods of voters with arbitrary outputs.
A slightly compressible viscous fluid was considered and the two-dimensional flow was analyzed using a two-step explicit method with an arbitrary Eulerian Lagrangean description.
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