Search for dissertations about: "hidden Markov model"

Showing result 1 - 5 of 50 swedish dissertations containing the words hidden Markov model.

  1. 1. Hidden Markov models Identification, control and inverse filtering

    University dissertation from KTH Royal Institute of Technology

    Author : Robert Mattila; KTH.; [2018]
    Keywords : 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

  2. 2. Rainflow Analysis of Switching Markov Loads

    University dissertation from Mathematical Statistics, Centre for Mathematical Sciences, Lund University

    Author : Pär Johannesson; Lunds universitet.; Lund University.; [1999]
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; actuarial mathematics; programming; operations research; Statistics; rainflow matrix; fatigue; vehicle load; hidden Markov model; random load; Markov model; Switching process; Statistik; operationsanalys; programmering; aktuariematematik;

    Abstract : Rainflow cycles are often used in fatigue analysis of materials for describing the variability of applied loads. Therefore, an important characteristic of a random load process is the intensity of rainflow cycles, also called the expected rainflow matrix (RFM), which can be used for evaluation of the fatigue life. READ MORE

  3. 3. Hidden Markov models - Traffic modeling and subspace methods

    University dissertation from Centre for Mathematical Sciences, Lund University

    Author : Sofia Andersson; Lunds universitet.; Lund University.; [2002]
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; programming; actuarial mathematics; Statistik; operationsanalys; Statistics; operations research; subspace identification; state space representation; likelihood estimation; Poissonification; traffic analysis; hidden Markov model; Markov-modulated Poisson process; programmering; aktuariematematik;

    Abstract : The main motivation for this thesis, however not the only one, is the search for models for traffic in telecommunication networks. Traffic characterization and modeling are of great importance in the analysis and dimensioning of communication systems. During the last decades we have experienced an explosive growth of our telecommunication networks. READ MORE

  4. 4. Segmentation of Laser Range Radar Images using Hidden Markov Field Models

    University dissertation from Linköping : Linköping University

    Author : Predrag Pucar; Linköpings universitet.; Linköpings universitet.; [1993]
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Segmentation; Images; Model based stochastic techniques; Image processing; Demanding algorithms; Hidden Markov model; Estimation; TECHNOLOGY Information technology Automatic control; TEKNIKVETENSKAP Informationsteknik Reglerteknik;

    Abstract : Segmentation of images in the context of model based stochastic techniques is connected with high, very often unpracticle computational complexity. The objective with this thesis is to take the models used in model based image processing, simplify and use them in suboptimal, but not computationally demanding algorithms. READ MORE

  5. 5. Statistical methods in medical image estimation and sparse signal recovery

    University dissertation from Umeå : Umeå University

    Author : Fekadu Lemessa Bayisa; Umeå universitet.; [2018]
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Computed tomography; magnetic resonance imaging; Gaussian mixture model; skew-Gaussian mixture model; hidden Markov random field; hidden Markov model; supervised statistical learning; synthetic CT images; pseudo-CT images; spike and slab prior; adaptive algorithm;

    Abstract : This thesis presents work on methods for the estimation of computed tomography (CT) images from magnetic resonance (MR) images for a number of diagnostic and therapeutic workflows. The study also demonstrates sparse signal recovery method, which is an intermediate method for magnetic resonance image reconstruction. READ MORE