Search for dissertations about: "deconvolution"
Showing result 1 - 5 of 49 swedish dissertations containing the word deconvolution.
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1. Bioinformatic approaches to gene expression in leukemia. Networks and deconvolution
Abstract : The aim of this thesis is develop methods to extract information from high-dimensionality data and to apply them in looking at gene-gene and gene-protein interactions in Acute Myeloid Leukemia (AML). The in silico methods developed can be used with data from other systems. READ MORE
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2. Nonparametric Functional Estimation under Order Restrictions
Abstract : This thesis consists of three papers (Papers A-C) on problems in nonparametric functional estimation, in particular density and regression function estimation and deconvolution, under order assumptions. Pointwise limit distribution results are stated for the obtained estimators, which include isotonic regression estimates, nonparametric maximum likelihood estimates of monotone densities, estimates of convex regression and density functions and deconvolution estimates. READ MORE
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3. Analysis of carbon black oxidation
Abstract : Diesel engines are known to be a major source of a highly pollutant material known as particulate matter, PM, which is a strongly threatening agent to human health. Therefore, diesel particulate filters are used to reduce PM emissions by trapping soot. READ MORE
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4. Continuous-Time Models in Kernel Smoothing
Abstract : This thesis consists of five papers (Papers A-E) treating problems in non-parametric statistics, especially methods of kernel smoothing applied to density estimation for stochastic processes (Papers A-D) and regression analysis (Paper E). A recurrent theme is to, instead of treating highly positively correlated data as ``asymptotically independent'', take advantage of local dependence structures by using continuous-time models. READ MORE
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5. Adaptive blind deconvolution using third-order moments : exploiting asymmetry
Abstract : This thesis focuses on the use of third-order statistics in adaptive blind deconvolution of asymmetric impulsive signals. Traditional methods are typically based on fourthorder moments, which can discriminate signals with heavy-tailed probability functions (i.e. `spiky' signals) from corresponding filtered versions. READ MORE