Generalized row-action methods for tomographic imaging
نویسندگان
چکیده
منابع مشابه
Regularization Methods for Radio Tomographic Imaging
Radio Tomographic Imaging (RTI) is an emerging technology that uses received signal strength measurements to image the attenuation of objects within a wireless network area. RTI is by nature an ill-posed inverse problem, therefore, regularization techniques must be utilized to obtain accurate images. This paper discusses some common regularization techniques, including Tikhonov, truncated singu...
متن کاملGeneralized ROW-type methods for simulating water supply networks
In order to supply drinking water efficiently, aspects such as saving energy and resources become more and more relevant besides the task of ensuring water quality. In this context, simulating water supply networks is of increasing importance as it helps water suppliers to estimate and improve effectiveness of their facilities with respect to economy and ecology. However, modeling and computing...
متن کاملRow by row methods for semidefinite programming
We present a row-by-row (RBR) method for solving semidefinite programming (SDP) problem based on solving a sequence of problems obtained by restricting the n-dimensional positive semidefinite constraint on the matrix X. By fixing any (n − 1)-dimensional principal submatrix of X and using its (generalized) Schur complement, the positive semidefinite constraint is reduced to a simple second-order...
متن کاملTomographic Reconstruction Methods for Optical and Intra-operative Functional Imaging
Tomographic imaging has revolutionized the medical domain over the last 50 years. Imaging modalities like CT, PET or SPECT have enabled non–invasive diagnosis, patient–specific modeling as well as more accurate treatment, and are increasingly establishing themselves also for interventional use. The theoretical basis for tomographic imaging has been developing over the last century as well, with...
متن کاملFeature-Enhancing Inverse Methods for Limited-View Tomographic Imaging Problems∗
In this paper we overview current efforts in the development of inverse methods which directly extract target-relevant features from a limited data set. Such tomographic imaging problems arise in a wide range of fields making use of a number of different sensing modalities. Drawing these problem areas together is the similarity in the underlying physics governing the relationship between that w...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Numerical Algorithms
سال: 2013
ISSN: 1017-1398,1572-9265
DOI: 10.1007/s11075-013-9778-8