Evaluation of local birefringence along fibres using Brillouin analysis
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We consider the map T-alpha,T-beta(x) := beta x + alpha mod 1, which admits a unique probability measure of maximal entropy. For x is an element of [0, 1], we show that the orbit of x is mu(alpha,beta)-normal for almost all (alpha, beta) is an element of [ ...
A direct measure of hydrogen bonding in water under conditions ranging from the normal state to the supercritical regime is derived from first-principles calculations for the Compton scattering of inelastically scattered x rays. First, we show that a measu ...
The perception of a stimulus can strongly be modified by its spatial context. For example, when a vernier stimulus is flanked by two lines, performance deteriorates compared to a vernier without flanks. This is usually explained by local interactions, such ...
Using arguments developed by De Giorgi in the 1950's, it is possible to prove the regularity of the solutions to a vast class of variational problems in the Euclidean space. The main goal of the present thesis is to extend these results to the more abstrac ...
In this paper, we investigate the effect of temporal context for speech/non-speech detection (SND). It is shown that even a simple feature such as full-band energy, when employed with a large-enough context, shows promise for further investigation. Experim ...
In this paper we consider the problem of computing sets of observable states for discrete-time, piecewise affine systems. When the maximal set of observable states is full-dimensional, we provide an algorithm for reconstructing it up to a zero measure set. ...
Methods to measure airflow rates using tracer gas in single air handling units are well known. In some buildings however, in particular in Singapore, rooms are often ventilated with two or more units and present large recirculation rates. Large recirculati ...
In this paper, we investigate the effect of temporal context for speech/non-speech detection (SND). It is shown that even a simple feature such as full-band energy, when employed with a large-enough context, shows promise for further investigation. Experim ...
Combining several classifiers has proved to be an efficient machine learning technique. Two concepts influence clearly the efficiency of an ensemble: the diversity between classifiers and the individual accuracies of the classifiers. We use an information ...