The performance of subband image coders depends on the proper choice of filter banks. It is therefore desirable to find algorithms for optimizing the filter banks. A theory for finding jointly optimized analysis and synthesis filter banks with arbitrary filter lengths and arbitrary delay through the filter bank is proposed. Theoretical results are included. Comparisons are made against the well...

This paper is concerned with amoeba median filtering, a structure-adaptive morphological image filter. It has been introduced by Lerallut et al. in a discrete formulation. Experimental evidence shows that iterated amoeba median filtering leads to segmentation-like results that are similar to those obtained by self-snakes, an image filter based on a partial differential equation. We investigate ...

We consider causally estimating (filtering) the components of a noise-corrupted sequence relative to a reference class of filters. The noiseless sequence to be filtered is designed by a “well-informed antagonist,” meaning it may evolve according to an arbitrary law, unknown to the filter, based on past noiseless and noisy sequence components. We show that this setting is more challenging than t...

Real-time estimation and short-term prediction of traffic conditions is one of major concern of traffic managers and ITS-oriented systems. Model-based methods appear now as very promising ways in order to reach this purpose. Such methods are already used in process control (Kalman filtering, Luenberger observers). In the application presented in this paper, due to the high non linearity of the ...

We describe the use of the Kalman filter to find optimal fits to short sections of ellipse data and to predict confidence envelopes in order to facilitate search for further ellipse data. The extended Kalman filter in its usual form is shown not to reduce the well known bias to high curvature involved in least squares ellipse fitting. This problem is overcome by developing a linear bias correct...

The primary goal of this paper is to describe i) the pattern of pointwise distances between the human brain (pial surface) and the inner surface of the skull (endocast) and ii) the pattern of pointwise bilateral asymmetries of these two structures. We use a database of MR images to segment meshes representing the outer surface of the brain and the endocast. We propose automated computational te...

Quantifying transport into the Arctic lowermost stratosphere A. Werner, C. M. Volk, E. V. Ivanova, T. Wetter, C. Schiller, H. Schlager, and P. Konopka Institute for Atmospheric and Environmental Sciences, University of Frankfurt, Germany Institute of Chemistry and Dynamics of the Geosphere, Research Center Jülich, Germany Deutsches Zentrum für Luft und Raumfahrt, Institute of Atmospheric Physic...

We propose two main applications of Gyöngy (1986)’s construction of inhomogeneous Markovian stochastic differential equations that mimick the one-dimensional marginals of continuous Itô processes. Firstly, we prove Dupire (1994) and Derman and Kani (1994)’s result. We then present Bessel-based stochastic volatility models in which this relation is used to compute analytical formulas for the loc...

After a brief review of the known description of time-variant channels by means of system and correlation functions, a consistent extension of this description to directional time-variant channels is described in the present paper. This extension allows a clear distinction between timeand space-variant effects in directional mobile radio channels. The major intention of the described directiona...

Optical microlensing surveys are restricted from detecting events near the Galactic plane and center, where the event rate is thought to be the highest due to the high optical extinction of these fields. In the near-infrared (NIR), however, the lower extinction leads to a corresponding increase in event detections and is a primary driver for the wavelength coverage of theWFIRSTmicrolensing surv...