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Sleep scoring needs computational assistance to reduce execution time and to assure high quality. In this pilot study a semi-automatic K-Complex detection algorithm was developed using wavelet transformation to identify pseudo-K-Complexes and various feature thresholds to reject false positives. The algorithm was trained and tested on sleep EEG from two databases to enhance its general applicability...
We present a 2-D time-domain implementation and examine the effect of the node distribution on the accuracy of the results. This requires the introduction of consistency restoring techniques that remedy the lack of consistency in the traditional SPH method.
The smoothed particle hydrodynamics (SPH) method is a mesh-free method that is characterized by an easy adaptability and an ability to track moving particles. In this paper, the fundamentals of SPH and its corrective smoothed particle method (CSPM) are introduced in detail and those two are compared in terms of consistency. The CSPM formulation for electromagnetics in time domain (SPEM) is presented...
In this paper, a comparison completeness of the three kernel approximations that are commonly used in smoothed particle hydrodynamics (SPH) to polynomial functions and their derivatives is conducted. Those are applied for the time domain Maxwell's curl equations and the numerical results is compared with analytic solution. It is shown that the smoothed particle method for Maxwell's equations - smoothed...
This paper presents recent investigations that aim at providing an efficient frequency-domain solution of models that are obtained from a finite-volume space discretization. Traditionally, the finite-volume method is used in conjunction with a time-domain solver, however, when applied to resonant devices, such as filters and diplexers, a frequency-domain solution is attractive. Since direct solutions...
In this work, a novel discretization scheme for the finite-volume technique is presented. While this method is traditionally implemented on tetrahedral or triangular meshes, the presented approach utilizes hexahedral finite volumes. The hexahedrons are composed of two tetrahedrons, which eliminates the necessity of novel meshing techniques. A remarkable property of those hexahedral cells is that they...
This letter presents the development and implementation of the convolutional perfectly matched layer (CPML) for the recently proposed locally 1-D finite difference time domain method LOD-FDTD. Two different examples are simulated. Their results are compared with the FDTD-PML method and it is found that the proposed method has 16 dB less reflection error at a Courant Friedrich Levy number of one.
In this work the applicability of model order reduction schemes to models that are obtained through finite-volume space discretizations is examined. While some state-space formulations of this method fail to allow the efficient generation of reduced order models, the application to a 2-dimensional field-averaging version that has recently been developed yields excellent results in terms of both accuracy...
This work describes the derivation of a state-space formulation for a novel variant of the finite-volume technique. The state-space model is intended to be used in model order reduction (MOR) schemes, which are expected to drastically boost the performance of the method. As a proof of validity of the generated models, a frequency-domain solution of an H-plane discontinuity in a rectangular waveguide...
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