Search for dissertations about: "Stationary processes"
Showing result 1 - 5 of 127 swedish dissertations containing the words Stationary processes.
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1. Modelling and Inference using Locally Stationary Processes : Biomedical applications
Abstract : This thesis considers statistical methods for non-stationary signals, specifically stochastic modelling, inference on the model parameters and optimal spectral estimation. The models are based on Silverman’s definition of Locally Stationary Processes (LSPs). READ MORE
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2. Noise diagnostics of Stationary and Non-Stationary Reactor Processes
Abstract : This thesis concerns the application of noise diagnostics on different problems in the area of reactor physics involving both stationary and non-stationary core processes. Five different problems are treated, divided into three different parts. READ MORE
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3. Estimation and Classification of Non-Stationary Processes : Applications in Time-Frequency Analysis
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
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4. Linear and Non-linear Deformations of Stochastic Processes
Abstract : This thesis consists of three papers on the following topics in functional analysis and probability theory: Riesz bases and frames, weakly stationary stochastic processes and analysis of set-valued stochastic processes. In the first paper we investigate Uniformly Bounded Linearly Stationary stochastic processes from the point of view of the theory of Riesz bases. READ MORE
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5. Statistical inference and time-frequency estimation for non-stationary signal classification
Abstract : This thesis focuses on statistical methods for non-stationary signals. The methods considered or developed address problems of stochastic modeling, inference, spectral analysis, time-frequency analysis, and deep learning for classification. READ MORE