Search for dissertations about: "Gaussian mixture modeling"

Showing result 1 - 5 of 19 swedish dissertations containing the words Gaussian mixture modeling.

  1. 1. Coding Speech for Packet Networks

    Author : Jonas Lindblom; Chalmers tekniska högskola; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; packet loss concealment; voice over IP; speech coding; harmonic modeling; vector quantization; sinusoidal modeling; Gaussian mixture modeling; bounded support; frame erasure; variable dimension;

    Abstract : The topic of this thesis is speech coding for packet networks. Problems related to the use of packet networks for voice communication are addressed. Real-time voice communication is for example very delay sensitive; if the total end-to-end delay in a telephone session grows large, it is perceived as annoying. READ MORE

  2. 2. Spatial Mixture Models with Applications in Medical Imaging and Spatial Point Processes

    Author : Anders Hildeman; Göteborgs universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Non-Gaussian; Bayesian level set inversion; Point processes; Substitute CT; Finite mixture models; Spatial statistics; Gaussian fields; Non-Gaussian;

    Abstract : Finite mixture models have proven to be a great tool for both modeling non-standard probability distributions and for classification problems (using the latent variable interpretation). In this thesis we are building spatial models by incorporating spatially dependent categorical latent random fields in a hierarchical manner similar to that of finite mixture models. READ MORE

  3. 3. Packetized speech transmission - combatting the packet loss problem

    Author : Jonas Lindblom; Chalmers tekniska högskola; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; bounded support; voice over packet packetized speech; spectrum prediction; Gaussian mixture modeling; frame erasure; speech coding; packet loss concealment; sinusoidal modeling;

    Abstract : .... READ MORE

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

    Author : Fekadu Lemessa Bayisa; Jun Yu; Ottmar Cronie; Henning Omre; Umeå universitet; []
    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

  5. 5. 60 GHz Wireless Propagation Channels: Characterization, Modeling and Evaluation

    Author : Carl Gustafson; Institutionen för elektro- och informationsteknik; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; 60 GHz; mm-wave; IEEE 802.11ad; IEEE802.15.3c; Channel measurements; Channel modeling; propagation; MIMO; Beamforming; Spatial Multiplexing;

    Abstract : To be able to connect wirelessly to the internet is nowadays a part of everyday life and the number of wireless devices accessing wireless networks worldwide are increasing rapidly. However, with the increasing number of wireless devices and applications and the amount available bandwidth, spectrum shortage is an issue. READ MORE