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Showing result 1 - 5 of 8 swedish dissertations matching the above criteria.
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1. Sparse Modeling of Grouped Line Spectra
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
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2. Parameter Estimation - in sparsity we trust
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
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3. Unsupervised feature learning applied to condition monitoring
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
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4. Speech Enhancement Using Nonnegative MatrixFactorization and Hidden Markov Models
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
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5. Automated Text Analysis of Online Content in Marketing : Dictionray-Based Methods and Artificial Intelligence
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