Search for dissertations about: "Spectral Estimation"

Showing result 16 - 20 of 147 swedish dissertations containing the words Spectral Estimation.

  2. 16. Modeling and Sampling of Spectrally Structured Signals

    Author : Filip Elvander; Statistical Signal Processing Group; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; spectral estimation; parameter estimation; optimal mass transport; covariance interpolation; misspecified models; inharmonicity;

    Abstract : This thesis consists of five papers concerned with the modeling of stochastic signals, as well as deterministic signals in stochastic noise, exhibiting different kinds of structure. This structure is manifested as the existence of finite-dimensional parameterizations, and/or in the geometry of the signals' spectral representations. READ MORE

  4. 17. A convex optimization approach to complexity constrained analytic interpolation with applications to ARMA estimation and robust control

    Author : Anders Blomqvist; Anders Lindquist; Giorgio Picci; KTH; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Mathematical optimization; systems theory; analytic interpolation; moment matching; Nevanlinna-Pick interpolation; spectral estimation; convex optimization; Optimeringslära; systemteori; Optimization; systems theory; Optimeringslära; systemteori;

    Abstract : Analytical interpolation theory has several applications in systems and control. In particular, solutions of low degree, or more generally of low complexity, are of special interest since they allow for synthesis of simpler systems. READ MORE

  5. 18. Event Based Sampling with Application to Spectral Estimation

    Author : Niclas Persson; Fredrik Gustafsson; Linköpings universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Event based sampling; Time based sampling; Tire pressure monitoring system;

    Abstract : In this thesis event based sampling, estimation of a single resonance frequency and the application indirect tire pressure monitoring system are studied.Event based sampling is an alternative to traditional uniform or equidistant sampling. In event based sampled systems, signals are sampled only when certain pre-defined events take place. READ MORE

  6. 19. Non-intrusive instrumentation and estimation : Applications for control of an additive manufacturing process

    Author : Petter Hagqvist; Anna-Karin Christiansson; Bengt Lennartson; Stewart Williams; Högskolan Väst; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Additive Manufacturing; Automation; Emissivity; Emissivity Compensated Spectral Pyrometry; Laser Metal Wire Deposition; Metal Deposition; Pyrometry; Resistance Feedback Control; Thermometry; Manufacturing and materials engineering; Produktions- och materialteknik;

    Abstract : For integration of additive manufacturing into industrial production, there is a need for capable yet robust automation solutions. Such solutions are to ensure consistent process outputs, both with regard to deposit geometry and material properties. READ MORE

  7. 20. Group-Sparse Regression : With Applications in Spectral Analysis and Audio Signal Processing

    Author : Ted Kronvall; Statistical Signal Processing Group; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; sparse regression; group-sparsity; statistical modeling; regularization; hyperparameter-selection; spectral analysis; audio signal processing; classification; localization; multi-pitch estimation; chroma; convex optimization; ADMM; cyclic coordinate descent; proximal gradient;

    Abstract : This doctorate thesis focuses on sparse regression, a statistical modeling tool for selecting valuable predictors in underdetermined linear models. By imposing different constraints on the structure of the variable vector in the regression problem, one obtains estimates which have sparse supports, i.e. READ MORE