Browsing by Keywords "Computational efficiency"
Now showing items 1-12 of 12
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Analysis of photonic-crystal problems with MLFMA and approximate Schur preconditioners
(2009)We consider fast and accurate solutions of electromagnetics problems involving three-dimensional photonic crystals (PhCs). Problems are formulated with the combined tangential formulation (CTF) and the electric and magnetic ... -
Analytical evaluation of the MoM matrix elements
(Institute of Electrical and Electronics Engineers, 1996-04)Derivation of the closed-form Green's functions has eliminated the computationally expensive evaluation of the Sommerfeld integrals to obtain the Green's functions in the spatial domain. Therefore, using the closed-form ... -
A Benders decomposition approach for the charging station location problem with plug-in hybrid electric vehicles
(Elsevier, 2016)The flow refueling location problem (FRLP) locates p stations in order to maximize the flow volume that can be accommodated in a road network respecting the range limitations of the vehicles. This paper introduces the ... -
Computationally efficient wavelet affine invariant functions for shape recognition
(IEEE, 2004)An affine invariant function for object recognition is constructed from wavelet coefficients of the object boundary. In previous works, undecimated dyadic wavelet transform was used to construct affine invariant functions. ... -
Fast and accurate solutions of extremely large scattering problems involving three-dimensional canonical and complicated objects
(2009)We present fast and accurate solutions of extremely large scattering problems involving three-dimensional metallic objects discretized with hundreds of millions of unknowns. Solutions are performed by the multilevel fast ... -
Hybridizing physical optics with MLFMA for efficient scattering computations of three-dimensional complex targets
(2009)The multilevel fast multipole algorithm (MLFMA) provides accurate and efficient solutions of electromagnetic scattering problems involving large and complicated structures. On the other hand, whenever applicable, accelerations ... -
Mixture of Set Membership Filters Approach for Big Data Signal Processing
(Institute of Electrical and Electronics Engineers Inc., 2016)In this work, we propose a new approach for mixture of adaptive filters based on set-membership filters (SMF) which is specifically designated for big data signal processing applications. By using this approach, we achieve ... -
Online Adaptive Hierarchical Space Partitioning Classifier
(Institute of Electrical and Electronics Engineers Inc., 2016)We introduce an on-line classification algorithm based on the hierarchical partitioning of the feature space which provides a powerful performance under the defined empirical loss. The algorithm adaptively partitions the ... -
PO-MLFMA hybrid technique for the solution of electromagnetic scattering problems involving complex targets
(2007)The multilevel fast multipole algorithm (MLFMA) is a powerful tool for efficient and accurate solutions of electromagnetic scattering problems involving large and complicated structures. On the other hand, it is still ... -
Reconstruction of scalar diffraction field from distributed data points over 3D space
(2007)Diffraction field computation is an important task in the signal conversion stage of the holographic 3DTV. We consider an abstract setting, where the diffraction field of the desired 3D scene to be displayed is given by ... -
Signal processing for three-dimensional holographic television displays that use binary spatial light modulators
(2010)One of the important techniques used for three dimensional television (3DTV) is holography. In holographic 3DTV, spatial light modulators (SLM) are used as the display device. SLMs that provide the most limited modulation ... -
A Tree-Based Solution to Nonlinear Regression Problem
(Institute of Electrical and Electronics Engineers Inc., 2016)In this paper, we offer and examine a new algorithm for sequential nonlinear regression problem. In this architecture, we use piecewise adaptive linear functions to find the nonlinear regression model sequentially. For ...
