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Institution

Vienna University of Technology

EducationVienna, Austria
About: Vienna University of Technology is a education organization based out in Vienna, Austria. It is known for research contribution in the topics: Laser & Cloud computing. The organization has 16723 authors who have published 49341 publications receiving 1302168 citations.


Papers
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Journal ArticleDOI
TL;DR: A computationally fast procedure for identifying outliers is presented that is particularly effective in high dimensions, using simple properties of principal components to identify outliers in the transformed space, leading to significant computational advantages for high-dimensional data.

391 citations

Journal ArticleDOI
TL;DR: Weaknesses in GPT/GMF, specifically their limited spatial and temporal variability, are largely eradicated by a new, combined model GPT2, which provides pressure, temperature, lapse rate, water vapor pressure, and mapping function coefficients at any site, resting upon a global 5° grid of mean values, annual, and semi-annual variations in all parameters.
Abstract: Up to now, state-of-the-art empirical slant delay modeling for processing observations from radio space geodetic techniques has been provided by a combination of two empirical models. These are GPT (Global Pressure and Temperature) and GMF (Global Mapping Function), both operating on the basis of long-term averages of surface values from numerical weather models. Weaknesses in GPT/GMF, specifically their limited spatial and temporal variability, are largely eradicated by a new, combined model GPT2, which provides pressure, temperature, lapse rate, water vapor pressure, and mapping function coefficients at any site, resting upon a global 5° grid of mean values, annual, and semi-annual variations in all parameters. Built on ERA-Interim data, GPT2 brings forth improved empirical slant delays for geophysical studies. Compared to GPT/GMF, GPT2 yields a 40% reduction of annual and semi-annual amplitude differences in station heights with respect to a solution based on instantaneous local pressure values and the Vienna mapping functions 1, as shown with a series of global VLBI (Very Long Baseline Interferometry) solutions.

389 citations

Journal ArticleDOI
TL;DR: This work derives the expected intersymbol/interchannel interference of such a nonorthogonal FDM (NOFDM) system under the assumption of a wide-sense stationary uncorrelated scattering (WSSUS) channel and compares OFDM and NOFDM schemes with regard to robustness against delay/Doppler spread.
Abstract: A new approach to multicarrier digital communication over time-varying, frequency selective fading channels is presented. We propose a transmission signal set whose basic structure is similar to standard orthogonal frequency division multiple access (OFDM)-setups, i.e., a system of functions generated by time and frequency-shifted versions of a pulse-like prototype function known as a Weyl-Heisenberg (WH) system. Unlike previous OFDM studies, however, which are restricted to the case of orthonormal pulses, we consider nonorthogonal pulses that are adapted to realistically available a priori knowledge of the channel. Perfect transmultiplexing in the case of an ideal channel is incorporated as a mathematical side-constraint. We derive the expected intersymbol/interchannel interference of such a nonorthogonal FDM (NOFDM) system under the assumption of a wide-sense stationary uncorrelated scattering (WSSUS) channel. Based on this result, we compare OFDM and NOFDM schemes with regard to robustness against delay/Doppler spread.

388 citations

Journal ArticleDOI
TL;DR: A Hybrid Big Bang-Big Crunch (HBB-BC) optimization algorithm is employed for optimal design of truss structures and numerical results demonstrate the efficiency and robustness of the H BB-BC method compared to other heuristic algorithms.

387 citations

Proceedings ArticleDOI
21 Oct 2003
TL;DR: This paper describes the first stand-alone Augmented Reality system with self-tracking running on an unmodified personal digital assistant (PDA) with a commercial camera and introduces an optional client/server architecture that is based on wireless networking and is able to dynamically and transparently offload the tracking task in order toprovide better performance in select areas.
Abstract: In this paper we describe the first stand-alone AugmentedReality (AR) system with self-tracking running on anunmodified personal digital assistant (PDA) with acommercial camera. The project exploits the readyavailability of consumer devices with a minimal need forinfrastructure. The application provides the user with athree-dimensional augmented view of the environment.Our system achieves good overlay registration accuracyby using a popular marker-based tracking toolkit(ARToolKit), which runs directly on the PDA. Weintroduce an optional client/server architecture that isbased on wireless networking and is able to dynamicallyand transparently offload the tracking task in order toprovide better performance in select areas. Thehardware/software framework is modular and can beeasily combined with many elements of an existing ARframework. As a demonstration of the effectiveness, wepresent a 3D navigation application that guides a userthrough an unknown building to a chosen location.

385 citations


Authors

Showing all 16934 results

NameH-indexPapersCitations
Krzysztof Matyjaszewski1691431128585
Wolfgang Wagner1562342123391
Marco Zanetti1451439104610
Sridhara Dasu1401675103185
Duncan Carlsmith1381660103642
Ulrich Heintz136168899829
Matthew Herndon133173297466
Frank Würthwein133158494613
Alain Hervé132127987763
Manfred Jeitler132127889645
David Taylor131246993220
Roberto Covarelli131151689981
Patricia McBride129123081787
David Smith1292184100917
Lindsey Gray129117081317
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023171
2022379
20212,527
20202,811
20192,846
20182,650