Search for dissertations about: "Smooth spectral estimation"

Showing result 1 - 5 of 6 swedish dissertations containing the words Smooth spectral estimation.

  1. 1. Estimation and Classification of Non-Stationary Processes : Applications in Time-Frequency Analysis

    Author : Johan Brynolfsson; Statistical Signal Processing Group; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Time-Frequency Estimation; Parameter Estimation; Reassignment method; Non-Stationary Processes; Smooth spectral estimation; Neural Networks;

    Abstract : This thesis deals with estimation and classification problems of non-stationary processes in a few special cases.In paper A and paper D we make strong assumptions about the observed signal, where a specific model is assumed and the parameters of the model are estimated. READ MORE

  2. 2. Spectral Analysis of Nonuniformly Sampled Data and Applications

    Author : Prabhu Babu; Peter Stoica; Fredrik Gustafsson; Uppsala universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Spectral analysis; array processing; nonuniform sampling; sparse parameter estimation; direction of arrival DOA estimation; covariance fitting; sinusoidal parameter estimation; maximum-likelihood; non-parametric approach; exoplanet detection; radial velocity technique; Sudoku; Electrical Engineering with specialization in Signal Processing; Elektroteknik med inriktning mot signalbehandling;

    Abstract : Signal acquisition, signal reconstruction and analysis of spectrum of the signal are the three most important steps in signal processing and they are found in almost all of the modern day hardware. In most of the signal processing hardware, the signal of interest is sampled at uniform intervals satisfying some conditions like Nyquist rate. READ MORE

  3. 3. 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. 4. 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

  5. 5. Sparse Modeling of Harmonic Signals

    Author : Filip Elvander; Statistical Signal Processing Group; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; multi-pitch estimation; sparse modeling; convex optimisation; inharmonicity; sparse recursive least squares; adaptive signal processing; optimal transport distance;

    Abstract : This thesis considers sparse modeling and estimation of multi-pitch signals, i.e., signals whose frequency content can be described by superpositions of harmonic, or close-to-harmonic, structures, characterized by a set of fundamental frequencies. READ MORE