Browsing by Keywords "Inverse problems"
Now showing items 120 of 22

Condition number in recovery of signals from partial fractional fourier domain information
(2013)The problem of estimating unknown signal samples from partial measurements in fractional Fourier domains arises in wave propagation. By using the condition number of the inverse problem as a measure of redundant information, ... 
Denoising images corrupted by impulsive noise using projections onto the epigraph set of the total variation function (PESTV)
(Springer U K, 2015)In this article, a novel algorithm for denoising images corrupted by impulsive noise is presented. Impulsive noise generates pixels whose gray level values are not consistent with the neighboring pixels. The proposed ... 
Dipole source reconstruction of brain signals by using particle swarm optimization
(2009)Resolving the sources of neural activity is of prime importance in the analysis of Event Related Potentials (ERP). These sources can be modeled as effective dipoles. Identifying the dipole parameters from the measured ... 
Effect of different sparsity priors on compressive photonsieve spectral imaging
(Institute of Electrical and Electronics Engineers, 2018)Compressive spectral imaging is a rapidly growing area yielding higher performance novel spectral imagers than conventional ones. Inspired by compressed sensing theory, compressive spectral imagers aim to reconstruct the ... 
Electromagnetic imaging of threedimensional dielectric objects with Newton minimization
(Institute of Electrical and Electronics Engineers Inc., 2014)We present a general framework for detecting the shape and electrical properties of unknown objects by using the Newton minimization approach for solving inversescattering problems. This procedure is performed by evolving ... 
ERP source reconstruction by using Particle Swarm Optimization
(2009)Localization of the sources of Event Related Potentials (ERP) is a challenging inverse problem, especially to resolve sources of neural activity occurring simultaneously. By using an effective dipole source model, we propose ... 
Exact diffraction calculation from fields specified over arbitrary curved surfaces
(Elsevier, 20110730)Calculation of the scalar diffraction field over the entire space from a given field over a surface is an important problem in computer generated holography. A straightforward approach to compute the diffraction field from ... 
Heterogeneous multifrequency direct inversion (HMDI) for magnetic resonance elastography with application to a clinical brain exam
(Elsevier B.V., 2018)A new viscoelastic wave inversion method for MRE, called Heterogeneous Multifrequency Direct Inversion (HMDI), was developed which accommodates heterogeneous elasticity within a direct inversion (DI) by incorporating ... 
Moving region detection in compressed video
(Springer, 2004)In this paper, an algorithm for moving region detection in compressed video is developed. It is assumed that the video can be compressed either using the Discrete Cosine Transform (DOT) or the Wavelet Transform (WT). The ... 
A novel technique for a linear system of equations applied to channel equalization
(2009)In many inverse problems of signal processing the problem reduces to a linear system of equations. Accurate and robust estimation of the solution with errors in both measurement vector and coefficient matrix is a challenging ... 
Parallel preconditioners for solutions of dense linear systems with tens of millions of unknowns
(2007)We propose novel parallel preconditioning schemes for the iterative solution of integral equation methods. In particular, we try to improve convergence rate of the illconditioned linear systems formulated by the electricfield ... 
Phase and TV based convex sets for blind deconvolution of microscopic images
(Institute of Electrical and Electronics Engineers Inc., 2016)In this paper, two closed and convex sets for blind deconvolution problem are proposed. Most blurring functions in microscopy are symmetric with respect to the origin. Therefore, they do not modify the phase of the Fourier ... 
Phase retrieval of sparse signals from Fourier Transform magnitude using nonnegative matrix factorization
(2013)Signal and image reconstruction from Fourier Transform magnitude is a difficult inverse problem. Fourier transform magnitude can be measured in many practical applications, but the phase may not be measured. Since the ... 
Predicting pilot behavior in mediumscale scenarios using game theory and reinforcement learning
(American Institute of Aeronautics and Astronautics Inc., 2014)A key element to meet the continuing growth in air traffic is the increased use of automation. Decision support systems, computerbased information acquisition, trajectory planning systems, highlevel graphic display ... 
Randomized and rank based differential evolution
(2009)Many real world problems which can be assigned to the machine learning domain are inverse problems. The available data is often noisy and may contain outliers, which requires the application of global optimization. ... 
Rewardrate maximization in sequential identification under a stochastic deadline
(2013)Any intelligent system performing evidencebased decision making under time pressure must negotiate a speedaccuracy tradeoff. In computer science and engineering, this is typically modeled as minimizing a Bayesrisk ... 
Scattering and absorption performance of a microsize graphenebased parabolic reflector in the THz range illuminated by a complex line source
(Institute of Electrical and Electronics Engineers Inc., 2017)The scattering and absorption characteristics of a two dimensional (2D) parabolic reflector made of graphene and placed in the free space is simulated using the Method of Analytical Regularization (MAR) technique. Reflector ... 
Self Fourier functions and fractional Fourier transforms
(Elsevier, 1994)Self Fourier functions and fractional Fourier transforms are two concepts that have been discussed recently. Investigated is the combination of these two concepts: self fractional Fourier functions and the fractional Fourier ... 
Shape reconstruction of threedimensional conducting objects via nearfield measurements
(Institute of Electrical and Electronics Engineers Inc., 2014)A general framework for the shape reconstruction of conducting objects is presented with the Newton minimization approach. Using a fully numerical method, the initialguess object is evolved to reconstruct the target. The ... 
Structured least squares with bounded data uncertainties
(2009)In many signal processing applications the core problem reduces to a linear system of equations. Coefficient matrix uncertainties create a significant challenge in obtaining reliable solutions. In this paper, we present a ...