Sökning: "Long-time average spectrum"

Hittade 2 avhandlingar innehållade orden Long-time average spectrum.

  1. 1. Modeling Music Studies of Music Transcription, Music Perception and Music Production

    Detta är en avhandling från Stockholm : KTH Royal Institute of Technology

    Författare :Anders Elowsson; Anders Friberg; Pawel Herman; Anders Askenfelt; Gerhard Widmer; [2018]
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Music Information Retrieval; MIR; Music; Music Transcription; Music Perception; Music Production; Tempo Estimation; Beat Tracking; Polyphonic Pitch Tracking; Polyphonic Transcription; Music Speed; Music Dynamics; Long-time average spectrum; LTAS; Algorithmic Composition; Deep Layered Learning; Convolutional Neural Networks; Rhythm Tracking; Ensemble Learning; Perceptual Features; Representation Learning;

    Sammanfattning : This dissertation presents ten studies focusing on three important subfields of music information retrieval (MIR): music transcription (Part A), music perception (Part B), and music production (Part C).In Part A, systems capable of transcribing rhythm and polyphonic pitch are described. LÄS MER

  2. 2. Interacting particle systems for opinion dynamics: the Deffuant model and some generalizations

    Detta är en avhandling från Göteborg : Chalmers University of Technology

    Författare :Timo Hirscher; Göteborgs universitet.; Gothenburg University.; [2016]
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Deffuant model; bounded confidence; opinion dynamics; sociophysics; consensus formation; general opinion space; percolation; pumpless water transport.; opinion dynamics; general opinion space; percolation; pumpless water transport.; sociophysics; bounded confidence; consensus formation;

    Sammanfattning : In the field of sociophysics, concepts and techniques taken from statistical physics are used to model and investigate some social and political behavior of a large group of humans: their social network is given by a simple graph and neighboring individuals meet and interact in pairs or small groups. Although most of the established models feature rather simple microscopic interaction rules, the macroscopic long-time behavior of the collective often eludes an analytical treatment due to the complexity, which stems from the interaction of the large system as a whole. LÄS MER