Browsing by Keywords "Projection onto convex sets"
Now showing items 114 of 14

Compressive sensing using the modified entropy functional
(Academic Press, 201401)In most compressive sensing problems, 1 norm is used during the signal reconstruction process. In this article, a modified version of the entropy functional is proposed to approximate the 1 norm. The proposed modified ... 
Deconvolution using Fourier Transform phase, ℓ1 and ℓ2 balls, and filtered variation
(Elsevier B.V., 2018)In this article, we present a deconvolution software based on convex sets constructed from the phase of the Fourier Transform, bounded ℓ2 energy and ℓ1 energy of a given image. The iterative deconvolution algorithm is based ... 
Deconvolution using Fourier transform phase, ℓ1 and ℓ2 balls, and filtered variation
(Elsevier, 2018)In this article, we present a deconvolution software based on convex sets constructed from the phase of the Fourier Transform, bounded ℓ2 energy and ℓ1 energy of a given image. The iterative deconvolution algorithm is based ... 
Deconvolution using projections onto the epigraph set of a convex cost function
(IEEE Computer Society, 2014)A new deconvolution algorithm based on making orthogonal projections onto the epigraph set of a convex cost function is presented. In this algorithm, the dimension of the minimization problem is lifted by one and sets ... 
Denoising using projections onto the epigraph set of convex cost functions
(Institute of Electrical and Electronics Engineers Inc., 2014)A new denoising algorithm based on orthogonal projections onto the epigraph set of a convex cost function is presented. In this algorithm, the dimension of the minimization problem is lifted by one and feasibility sets ... 
Diffraction field computation from arbitrarily distributed data points in space
(Elsevier BV, 200702)Computation of the diffraction field from a given set of arbitrarily distributed data points in space is an important signal processing problem arising in digital holographic 3D displays. The field arising from such ... 
A distributed positioning algorithm for cooperative active and passive sensors
(2010)The problem of positioning a target node is studied for wireless sensor networks with cooperative active and passive sensors. Twoway timeofarrival and timedifferenceofarrival measurements made by both active and ... 
An experimental setup for performance analysis of an online adaptive cooperative spectrum sensing scheme for both inphase and quadrature branches
(2011)Spectrum sensing is one of the most essential characteristics of cognitive radios (CRs). Robustness and adaptation to varying wireless propagation scenarios without compromising the sensing accuracy are desirable features ... 
Filtered Variation method for denoising and sparse signal processing
(2012)We propose a new framework, called Filtered Variation (FV), for denoising and sparse signal processing applications. These problems are inherently illposed. Hence, we provide regularization to overcome this challenge by ... 
An online adaptive cooperation scheme for spectrum sensing based on a secondorder statistical method
(Institute of Electrical and Electronics Engineers, 2012)Spectrum sensing is one of the most important features of cognitive radio (CR) systems. Although spectrum sensing can be performed by a single CR, it is shown in the literature that cooperative techniques, including multiple ... 
Online adaptive decision fusion framework based on projections onto convex sets with application to wildfire detection in video
(S P I E  International Society for Optical Engineering, 20110706)In this paper, an online adaptive decision fusion framework is developed for image analysis and computer vision applications. In this framework, it is assumed that the compound algorithm consists of several subalgorithms, ... 
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 ... 
Projections onto the epigraph set of the filtered variation function based deconvolution algorithm
(Institute of Electrical and Electronics Engineers Inc., 2017)A new deconvolution algorithm based on orthogonal projections onto the hyperplanes and the epigraph set of a convex cost function is presented. In this algorithm, the convex sets corresponding to the cost function are ... 
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 ...