Search for dissertations about: "dictionary learning"

Showing result 1 - 5 of 8 swedish dissertations containing the words dictionary learning.

  2. 1. Sparse Modeling of Grouped Line Spectra

    Author : Ted Kronvall; Statistical Signal Processing Group; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; line spectra; parameter estimation; convex optimization; group-sparsity; block-sparsity; dictionary learning; ADMM; adaptive penalty; total variation; multi-pitch estimation; chroma; audio processing; TDOA; near-field localization; amplitude modulation;

    Abstract : This licentiate thesis focuses on clustered parametric models for estimation of line spectra, when the spectral content of a signal source is assumed to exhibit some form of grouping. Different from previous parametric approaches, which generally require explicit knowledge of the model orders, this thesis exploits sparse modeling, where the orders are implicitly chosen. READ MORE

  4. 2. Parameter Estimation - in sparsity we trust

    Author : Johan Swärd; Statistical Signal Processing Group; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Parameter estimation; Sparse models; Convex optimization; Symbolic Periodicity; Alternating direction method of multipliers ADMM ; Covariance fitting; multi-pitch estimation problem; Off-grid estimation; Dictionary learning; Atomic norm; Sampling schemes;

    Abstract : This thesis is based on nine papers, all concerned with parameter estimation. The thesis aims at solving problems related to real-world applications such as spectroscopy, DNA sequencing, and audio processing, using sparse modeling heuristics. READ MORE

  5. 3. Unsupervised feature learning applied to condition monitoring

    Author : Sergio Martín del Campo Barraza; Fredrik Sandin; Kjersti Engan; Luleå tekniska universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Industriell elektronik; Industrial Electronics;

    Abstract : Improving the reliability and efficiency of rotating machinery are central problems in many application domains, such as energy production and transportation. This requires efficient condition monitoring methods, including analytics needed to predict and detect faults and manage the high volume and velocity of data. READ MORE

  6. 4. Speech Enhancement Using Nonnegative MatrixFactorization and Hidden Markov Models

    Author : Nasser Mohammadiha; Arne Leijon; W. Bastiaan Kleijn; Cédric Févotte; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Speech enhancement; noise reduction; nonnegative matrix factorization; hidden Markov model; probabilistic latent component analysis; online dictionary learning; super-Gaussian distribution; MMSE estimator; temporal dependencies; dynamic NMF;

    Abstract : Reducing interference noise in a noisy speech recording has been a challenging task for many years yet has a variety of applications, for example, in handsfree mobile communications, in speech recognition, and in hearing aids. Traditional single-channel noise reduction schemes, such as Wiener filtering, do not work satisfactorily in the presence of non-stationary background noise. READ MORE

  7. 5. Automated Text Analysis of Online Content in Marketing : Dictionray-Based Methods and Artificial Intelligence

    Author : Christine Pitt; Esmail Salehi-Sangari; Julie Tinson; KTH; []
    Keywords : SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Automated text analysis; content analysis; artificial intelligence-based tools; dictionary-based tools; marketing focus activity ies ; creation; experience; Automatiserad textanalys; innehållsanalys; artificiella intelligens-baserade verktyg; ordbok-baserade verktyg; marknadsfokusaktivitet er ; skapande; erfarenhet; Industriell ekonomi och organisation; Industrial Economics and Management;

    Abstract : Far more than products or services, words are the most fundamental element in the exchanges between sellers and buyers. Understanding the words that constitute the text that is created when sellers and buyers interact with each other is therefore critical for marketing decision makers. READ MORE