[1] Cross correlation of ambient seismic noise is known to result in time series from which station‐station travel‐time measurements can be made. Part of the reason that these cross‐correlation travel‐time measurements are reliable is that there exists a theoretical framework that quantifies how these travel times depend on the features of the ambient noise. However, corresponding theoretical r...

The first two chapters of this dissertation discuss multivariate long memory models. First, we discuss two distinct parametric multivariate time-series models. We discuss the implications of the models and describe an extension to fractional cointegration. We describe algorithms for computing the covariances of each model, for computing the likelihood and for simulating from each model. These a...

[1] We show that the spatial coherency of the ambient seismic field can be used for attenuation tomography in the western United States. We evaluate the real portion of the spatial coherency with an elastic geometric spreading term (a Bessel function) and a distance dependent decay (an attenuation coefficient). In order to invert the spatial coherency, a weight stack inversion technique is appl...

OBJECTIVE We tested the hypothesis that the reductions of the changes in the respective influence of the cardiac sympathetic and vagal activity control and delta EEG activity with aging alter the interactions between the heart rate variability (HRV) and the delta sleep EEG power band. METHODS A polysomnography was performed on 16 healthy young men and 19 healthy middle-aged men across the fir...

In the following we evaluate the costs and beneets of using a cache memory with a decoupled architecture supporting shared memory in both the uniprocessor and multiprocessor cases. Firstly we identify the performance bottleneck of such architectures, which we deene as Loss of Decoupling costs. We show that in both uniprocessors and multiprocessor machines with high latency such costs can greatl...

We propose a novel post processing method for visualization of fiber traces from DT-MRI data. Using a recently proposed non-linear dimensionality reduction technique, Laplacian eigenmaps [3], we create a mapping from a set of fiber traces to a low dimensional Euclidean space. Laplacian eigenmaps constructs this mapping so that similar traces are mapped to similar points, given a custom made pai...

DISCLAIMER This document describes work undertaken as part of a programme of study at the Faculty of Geo-Information Science and Earth Observation of the University of Twente. All views and opinions expressed therein remain the sole responsibility of the author, and do not necessarily represent those of the Faculty. i " Let my urge for triumph in life be dedicated to those who made me " realize...