Search for dissertations about: "inverse algorithms"

Showing result 1 - 5 of 71 swedish dissertations containing the words inverse algorithms.

  2. 1. Inverse problems in signal processing : Functional optimization, parameter estimation and machine learning

    Author : Pol del Aguila Pla; Joakim Jaldén; Yonina C. Eldar; KTH; []
    Keywords : ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; NATURAL SCIENCES; NATURVETENSKAP; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; NATURVETENSKAP; TEKNIK OCH TEKNOLOGIER; NATURAL SCIENCES; ENGINEERING AND TECHNOLOGY; inverse problems; signal processing; machine learning; biomedical imaging; optimization; proximal optimization; regularization; mathematical modeling; identifiability; likelihood; logconcavity; immunoassays; convolutional coding; functional analysis; abstract inference; learned iterations; unrolled algorithms; Electrical Engineering; Elektro- och systemteknik;

    Abstract : Inverse problems arise in any scientific endeavor. Indeed, it is seldom the case that our senses or basic instruments, i.e., the data, provide the answer we seek. READ MORE

  4. 2. Efficient Adaptive Algorithms for an Electromagnetic Coefficient Inverse Problem

    Author : John Bondestam Malmberg; Göteborgs universitet; Göteborgs universitet; Gothenburg University; []
    Keywords : ; coefficient inverse problem; inverse scattering; Maxwell’s equations; approximate global convergence; finite element method; adaptivity; a posteriori error analysis;

    Abstract : This thesis comprises five scientific papers, all of which are focusing on the inverse problem of reconstructing a dielectric permittivity which may vary in space inside a given domain. The data for the reconstruction consist of time-domain observations of the electric field, resulting from a single incident wave, on a part of the boundary of the domain under consideration. READ MORE

  5. 3. Seismic tomography : Algorithms and applications

    Author : Zhengsheng Yao; Uppsala universitet; []
    Keywords : NATURAL SCIENCES; NATURVETENSKAP; Earth sciences; Geovetenskap; Earth sciences; Geovetenskap; Geophysics Specialized In Seismology; geofysik; med inriktning mot seismologi;

    Abstract : A preferred algorithm for seismic tomography needs to have capabilities including computational efficiency, minimal computer memory requirements, easy regularization and nonuniqueness analysis. In this thesis, regularised recursive least squares for seismic tomography is developed. READ MORE

  6. 4. Parallelization of dynamic algorithms for electronic structure calculations

    Author : Anton G. Artemov; Emanuel H. Rubensson; Maya Neytcheva; Bo Kågström; Uppsala universitet; []
    Keywords : NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; parallelization; task-based programming; matrix algorithms; sparse matrices; inverse factorization; localized computations; density matrix methods; electronic structure calculations; Scientific Computing; Beräkningsvetenskap;

    Abstract : The aim of electronic structure calculations is to simulate behavior of complex materials by resolving interactions between electrons and nuclei in atoms at the level of quantum mechanics. Progress in the field allows to reduce the computational complexity of the solution methods to linear so that the computational time scales proportionally to the size of the physical system. READ MORE

  7. 5. Hidden Markov models : Identification, control and inverse filtering

    Author : Robert Mattila; Bo Wahlberg; Eric Moulines; KTH; []
    Keywords : ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; hidden markov models; system identification; method of moments; inverse filtering; abdominal aortic aneurysm; medical; markov decision process; structure; Electrical Engineering; Elektro- och systemteknik;

    Abstract : The hidden Markov model (HMM) is one of the workhorse tools in, for example, statistical signal processing and machine learning. It has found applications in a vast number of fields, ranging all the way from bioscience to speech recognition to modeling of user interactions in social networks. READ MORE