TY - CONF
AB - In this contribution we derive the Maximum A-Posteriori (MAP) estimates of the parameters of a Gaussian Mixture Model (GMM) in the presence of noisy observations. We assume the distortion to be white Gaussian noise of known mean and variance. An approximate conjugate prior of the GMM parameters is derived allowing for a computationally efficient implementation in a sequential estimation framework. Simulations on artificially generated data demonstrate the superiority of the proposed method compared to the Maximum Likelihood technique and to the ordinary MAP approach, whose estimates are corrected by the known statistics of the distortion in a straightforward manner.
AU - Chinaev, Aleksej
AU - Haeb-Umbach, Reinhold
ID - 11740
KW - Gaussian noise
KW - maximum likelihood estimation
KW - parameter estimation
KW - GMM parameter
KW - Gaussian mixture model
KW - MAP estimation
KW - Map-based estimation
KW - maximum a-posteriori estimation
KW - maximum likelihood technique
KW - noisy observation
KW - sequential estimation framework
KW - white Gaussian noise
KW - Additive noise
KW - Gaussian mixture model
KW - Maximum likelihood estimation
KW - Noise measurement
KW - Gaussian mixture model
KW - Maximum a posteriori estimation
KW - Maximum likelihood estimation
SN - 1520-6149
T2 - 38th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2013)
TI - MAP-based Estimation of the Parameters of a Gaussian Mixture Model in the Presence of Noisy Observations
ER -
TY - CONF
AB - In this paper we present an improved version of the recently proposed Maximum A-Posteriori (MAP) based noise power spectral density estimator. An empirical bias compensation and bandwidth adjustment reduce bias and variance of the noise variance estimates. The main advantage of the MAP-based postprocessor is its low estimation variance. The estimator is employed in the second stage of a two-stage single-channel speech enhancement system, where eight different state-of-the-art noise tracking algorithms were tested in the first stage. While the postprocessor hardly affects the results in stationary noise scenarios, it becomes the more effective the more nonstationary the noise is. The proposed postprocessor was able to improve all systems in babble noise w.r.t. the perceptual evaluation of speech quality performance.
AU - Chinaev, Aleksej
AU - Haeb-Umbach, Reinhold
AU - Taghia, Jalal
AU - Martin, Rainer
ID - 11742
SN - 1520-6149
T2 - 38th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2013)
TI - Improved Single-Channel Nonstationary Noise Tracking by an Optimized MAP-based Postprocessor
ER -
TY - CONF
AB - Among the different configurations of multi-microphone systems, e.g., in applications of speech dereverberation or denoising, we consider the case without a priori information of the microphone-array geometry. This naturally invokes explicit or implicit identification of source-receiver transfer functions as an indirect description of the microphone-array configuration. However, this blind channel identification (BCI) has been difficult due to the lack of unique identifiability in the presence of observation noise or near-common channel zeros. In this paper, we study the implicit BCI performance of blind signal enhancement techniques such as the adaptive principal component analysis (PCA) or the iterative blind equalization and channel identification (BENCH). To this end, we make use of a recently proposed metric, the normalized filter-projection misalignment (NFPM), which is tailored for BCI evaluation in ill-conditioned (e.g., noisy) scenarios. The resulting understanding of implicit BCI performance can help to judge the behavior of multi-microphone speech enhancement systems and the suitability of implicit BCI to serve channel-based (i.e., channel-informed) enhancement.
AU - Enzner, Gerald
AU - Schmid, Dominic
AU - Haeb-Umbach, Reinhold
ID - 11762
T2 - 21th European Signal Processing Conference (EUSIPCO 2013)
TI - On the Acoustic Channel Identification in Multi-Microphone Systems via Adaptive Blind Signal Enhancement Techniques
ER -
TY - CONF
AU - Heymann, Jahn
AU - Walter, Oliver
AU - Haeb-Umbach, Reinhold
AU - Raj, Bhiksha
ID - 11815
T2 - Automatic Speech Recognition and Understanding Workshop (ASRU 2013)
TI - Unsupervised Word Segmentation from Noisy Input
ER -
TY - CONF
AB - In this paper, we consider the Maximum Likelihood (ML) estimation of the parameters of a GAUSSIAN in the presence of censored, i.e., clipped data. We show that the resulting Expectation Maximization (EM) algorithm delivers virtually biasfree and efficient estimates, and we discuss its convergence properties. We also discuss optimal classification in the presence of censored data. Censored data are frequently encountered in wireless LAN positioning systems based on the fingerprinting method employing signal strength measurements, due to the limited sensitivity of the portable devices. Experiments both on simulated and real-world data demonstrate the effectiveness of the proposed algorithms.
AU - Hoang, Manh Kha
AU - Haeb-Umbach, Reinhold
ID - 11816
KW - Gaussian processes
KW - Global Positioning System
KW - convergence
KW - expectation-maximisation algorithm
KW - fingerprint identification
KW - indoor radio
KW - signal classification
KW - wireless LAN
KW - EM algorithm
KW - ML estimation
KW - WiFi indoor positioning
KW - censored Gaussian data classification
KW - clipped data
KW - convergence properties
KW - expectation maximization algorithm
KW - fingerprinting method
KW - maximum likelihood estimation
KW - optimal classification
KW - parameters estimation
KW - portable devices sensitivity
KW - signal strength measurements
KW - wireless LAN positioning systems
KW - Convergence
KW - IEEE 802.11 Standards
KW - Maximum likelihood estimation
KW - Parameter estimation
KW - Position measurement
KW - Training
KW - Indoor positioning
KW - censored data
KW - expectation maximization
KW - signal strength
KW - wireless LAN
SN - 1520-6149
T2 - 38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013)
TI - Parameter estimation and classification of censored Gaussian data with application to WiFi indoor positioning
ER -
TY - CONF
AB - Recently, substantial progress has been made in the field of reverberant speech signal processing, including both single- and multichannel de-reverberation techniques, and automatic speech recognition (ASR) techniques robust to reverberation. To evaluate state-of-the-art algorithms and obtain new insights regarding potential future research directions, we propose a common evaluation framework including datasets, tasks, and evaluation metrics for both speech enhancement and ASR techniques. The proposed framework will be used as a common basis for the REVERB (REverberant Voice Enhancement and Recognition Benchmark) challenge. This paper describes the rationale behind the challenge, and provides a detailed description of the evaluation framework and benchmark results.
AU - Kinoshita, Keisuke
AU - Delcroix, Marc
AU - Yoshioka, Takuya
AU - Nakatani, Tomohiro
AU - Habets, Emanuel
AU - Haeb-Umbach, Reinhold
AU - Leutnant, Volker
AU - Sehr, Armin
AU - Kellermann, Walter
AU - Maas, Roland
AU - Gannot, Sharon
AU - Raj, Bhiksha
ID - 11841
KW - Reverberant speech
KW - dereverberation
KW - ASR
KW - evaluation
KW - challenge
T2 - IEEE Workshop on Applications of Signal Processing to Audio and Acoustics
TI - The reverb challenge: a common evaluation framework for dereverberation and recognition of reverberant speech
ER -
TY - JOUR
AB - In this contribution we extend a previously proposed Bayesian approach for the enhancement of reverberant logarithmic mel power spectral coefficients for robust automatic speech recognition to the additional compensation of background noise. A recently proposed observation model is employed whose time-variant observation error statistics are obtained as a side product of the inference of the a posteriori probability density function of the clean speech feature vectors. Further a reduction of the computational effort and the memory requirements are achieved by using a recursive formulation of the observation model. The performance of the proposed algorithms is first experimentally studied on a connected digits recognition task with artificially created noisy reverberant data. It is shown that the use of the time-variant observation error model leads to a significant error rate reduction at low signal-to-noise ratios compared to a time-invariant model. Further experiments were conducted on a 5000 word task recorded in a reverberant and noisy environment. A significant word error rate reduction was obtained demonstrating the effectiveness of the approach on real-world data.
AU - Leutnant, Volker
AU - Krueger, Alexander
AU - Haeb-Umbach, Reinhold
ID - 11862
IS - 8
JF - IEEE Transactions on Audio, Speech, and Language Processing
KW - Bayes methods
KW - compensation
KW - error statistics
KW - reverberation
KW - speech recognition
KW - Bayesian feature enhancement
KW - background noise
KW - clean speech feature vectors
KW - compensation
KW - connected digits recognition task
KW - error statistics
KW - memory requirements
KW - noisy reverberant data
KW - posteriori probability density function
KW - recursive formulation
KW - reverberant logarithmic mel power spectral coefficients
KW - robust automatic speech recognition
KW - signal-to-noise ratios
KW - time-variant observation
KW - word error rate reduction
KW - Robust automatic speech recognition
KW - model-based Bayesian feature enhancement
KW - observation model for reverberant and noisy speech
KW - recursive observation model
TI - Bayesian Feature Enhancement for Reverberation and Noise Robust Speech Recognition
VL - 21
ER -
TY - CONF
AB - We present a novel method to exploit correlations of adjacent time-frequency (TF)-slots for a sparseness-based blind speech separation (BSS) system. Usually, these correlations are exploited by some heuristic smoothing techniques in the post-processing of the estimated soft TF masks. We propose a different approach: Based on our previous work with one-dimensional (1D)-hidden Markov models (HMMs) along the time axis we extend the modeling to two-dimensional (2D)-HMMs to exploit both temporal and spectral correlations in the speech signal. Based on the principles of turbo decoding we solved the complex inference of 2D-HMMs by a modified forward-backward algorithm which operates alternatingly along the time and the frequency axis. Extrinsic information is exchanged between these steps such that increasingly better soft time-frequency masks are obtained, leading to improved speech separation performance in highly reverberant recording conditions.
AU - Tran Vu, Dang Hai
AU - Haeb-Umbach, Reinhold
ID - 11909
T2 - 21th European Signal Processing Conference (EUSIPCO 2013)
TI - Blind Speech Separation Exploiting Temporal and Spectral Correlations Using Turbo Decoding of 2D-HMMs
ER -
TY - CONF
AB - In this paper we present a speech presence probability (SPP) estimation algorithmwhich exploits both temporal and spectral correlations of speech. To this end, the SPP estimation is formulated as the posterior probability estimation of the states of a two-dimensional (2D) Hidden Markov Model (HMM). We derive an iterative algorithm to decode the 2D-HMM which is based on the turbo principle. The experimental results show that indeed the SPP estimates improve from iteration to iteration, and further clearly outperform another state-of-the-art SPP estimation algorithm.
AU - Vu, Dang Hai Tran
AU - Haeb-Umbach, Reinhold
ID - 11917
KW - correlation methods
KW - estimation theory
KW - hidden Markov models
KW - iterative methods
KW - probability
KW - spectral analysis
KW - speech processing
KW - 2D HMM
KW - SPP estimates
KW - iterative algorithm
KW - posterior probability estimation
KW - spectral correlation
KW - speech presence probability estimation
KW - state-of-the-art SPP estimation algorithm
KW - temporal correlation
KW - turbo principle
KW - two-dimensional hidden Markov model
KW - Correlation
KW - Decoding
KW - Estimation
KW - Iterative decoding
KW - Noise
KW - Speech
KW - Vectors
SN - 1520-6149
T2 - 38th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2013)
TI - Using the turbo principle for exploiting temporal and spectral correlations in speech presence probability estimation
ER -
TY - CONF
AB - In this paper we consider the unsupervised word discovery from phonetic input. We employ a word segmentation algorithm which simultaneously develops a lexicon, i.e., the transcription of a word in terms of a phone sequence, learns a n-gram language model describing word and word sequence probabilities, and carries out the segmentation itself. The underlying statistical model is that of a Pitman-Yor process, a concept known from Bayesian non-parametrics, which allows for an a priori unknown and unlimited number of different words. Using a hierarchy of Pitman-Yor processes, language models of different order can be employed and nesting it with another hierarchy of Pitman-Yor processes on the phone level allows for backing off unknown word unigrams by phone m-grams. We present results on a large-vocabulary task, assuming an error-free phone sequence is given. We finish by discussing options how to cope with noisy phone sequences.
AU - Walter, Oliver
AU - Haeb-Umbach, Reinhold
AU - Chaudhuri, Sourish
AU - Raj, Bhiksha
ID - 11921
T2 - IEEE International Conference on Robotics and Automation (ICRA 2013)
TI - Unsupervised Word Discovery from Phonetic Input Using Nested Pitman-Yor Language Modeling
ER -
TY - CONF
AU - Walter, Oliver
AU - Korthals, Timo
AU - Haeb-Umbach, Reinhold
AU - Raj, Bhiksha
ID - 11924
T2 - Automatic Speech Recognition and Understanding Workshop (ASRU 2013)
TI - Hierarchical System for Word Discovery Exploiting DTW-Based Initialization
ER -
TY - GEN
AB - In this paper we present a novel initialization method for unsupervised learning of acoustic patterns in recordings of continuous speech. The pattern discovery task is solved by dynamic time warping whose performance we improve by a smart starting point selection. This enables a more accurate discovery of patterns compared to conventional approaches. After graph-based clustering the patterns are employed for training hidden Markov models for an unsupervised speech acquisition. By iterating between model training and decoding in an EM-like framework the word accuracy is continuously improved. On the TIDIGITS corpus we achieve a word error rate of about 13 percent by the proposed unsupervised pattern discovery approach, which neither assumes knowledge of the acoustic units nor of the labels of the training data.
AU - Walter, Oliver
AU - Schmalenstroeer, Joerg
AU - Haeb-Umbach, Reinhold
ID - 11926
TI - A Novel Initialization Method for Unsupervised Learning of Acoustic Patterns in Speech (FGNT-2013-01)
ER -
TY - CONF
AU - Bloessl, Bastian
AU - Segata, Michele
AU - Sommer, Christoph
AU - Dressler, Falko
ID - 11976
SN - 9781450319997
T2 - Proceedings of the 19th annual international conference on Mobile computing & networking - MobiCom '13
TI - Decoding IEEE 802.11a/g/p OFDM in software using GNU radio
ER -
TY - CONF
AU - Bloessl, Bastian
AU - Segata, Michele
AU - Sommer, Christoph
AU - Dressler, Falko
ID - 11977
SN - 9781450321815
T2 - Proceedings of the second workshop on Software radio implementation forum - SRIF '13
TI - An IEEE 802.11a/g/p OFDM receiver for GNU radio
ER -
TY - CONF
AU - Joerer, Stefan
AU - Segata, Michele
AU - Bloessl, Bastian
AU - Cigno, Renato Lo
AU - Sommer, Christoph
AU - Dressler, Falko
ID - 12022
SN - 9781467349963
T2 - 2012 IEEE Vehicular Networking Conference (VNC)
TI - To crash or not to crash: Estimating its likelihood and potentials of beacon-based IVC systems
ER -
TY - JOUR
AU - Joerer, Stefan
AU - Segata, Michele
AU - Bloessl, Bastian
AU - Lo Cigno, Renato
AU - Sommer, Christoph
AU - Dressler, Falko
ID - 12025
JF - IEEE Transactions on Vehicular Technology
SN - 0018-9545
TI - A Vehicular Networking Perspective on Estimating Vehicle Collision Probability at Intersections
ER -
TY - CONF
AU - Klingler, Florian
AU - Dressler, Falko
AU - Cao, Jiannong
AU - Sommer, Christoph
ID - 12028
SN - 9781479907496
T2 - 2013 10th Annual Conference on Wireless On-demand Network Systems and Services (WONS)
TI - Use both lanes: Multi-channel beaconing for message dissemination in vehicular networks
ER -
TY - CONF
AU - Schwartz, Ramon S.
AU - Ohazulike, Anthony E.
AU - Sommer, Christoph
AU - Scholten, Hans
AU - Dressler, Falko
AU - Havinga, Paul
ID - 12044
SN - 9781467349963
T2 - 2012 IEEE Vehicular Networking Conference (VNC)
TI - Fair and adaptive data dissemination for Traffic Information Systems
ER -
TY - JOUR
AU - Schwartz, Ramon S.
AU - Ohazulike, Anthony E.
AU - Sommer, Christoph
AU - Scholten, Hans
AU - Dressler, Falko
AU - Havinga, Paul
ID - 12045
JF - Ad Hoc Networks
SN - 1570-8705
TI - On the applicability of fair and adaptive data dissemination in traffic information systems
ER -
TY - CONF
AU - Sommer, Christoph
AU - Joerer, Stefan
AU - Dressler, Falko
ID - 12064
SN - 9781467349963
T2 - 2012 IEEE Vehicular Networking Conference (VNC)
TI - On the applicability of Two-Ray path loss models for vehicular network simulation
ER -
TY - CONF
AU - Sommer, Christoph
AU - Joerer, Stefan
AU - Segata, Michele
AU - Tonguz, Ozan
AU - Cigno, Renato Lo
AU - Dressler, Falko
ID - 12065
SN - 9781467359467
T2 - 2013 Proceedings IEEE INFOCOM
TI - How shadowing hurts vehicular communications and how dynamic beaconing can help
ER -
TY - JOUR
AU - Sommer, Christoph
AU - Eckhoff, David
AU - Dressler, Falko
ID - 12066
JF - IEEE Transactions on Mobile Computing
SN - 1536-1233
TI - IVC in Cities: Signal Attenuation by Buildings and How Parked Cars Can Improve the Situation
ER -
TY - CONF
AU - Hellebrand, Sybille
ID - 12979
T2 - 14th IEEE Latin American Test Workshop - (LATW'13)
TI - Analyzing and Quantifying Fault Tolerance Properties
ER -
TY - JOUR
AU - Domik, Gitta
AU - Arens, Stephan
AU - Stilow, Peter
AU - Friedrich, Hauke
ID - 15441
IS - 1
JF - IEEE computer graphics and applications
TI - Helping High Schoolers Move the (Virtual) World
VL - 33
ER -
TY - CONF
AU - Busjahn, Teresa
AU - Schulte, Carsten
ID - 15664
T2 - Koli Calling
TI - The use of code reading in teaching programming
ER -
TY - CONF
AU - Bennedsen, Jens
AU - Schulte, Carsten
ID - 15665
T2 - LaTiCE
TI - Object Interaction Competence Model v. 2.0
ER -
TY - CONF
AU - Buchholz, Malte
AU - Saeli, Mara
AU - Schulte, Carsten
ID - 15666
T2 - WiPSCE
TI - PCK and reflection in computer science teacher education
ER -
TY - CONF
AU - Schulte, Carsten
ID - 15667
T2 - WiPSCE
TI - Reflections on the role of programming in primary and secondary computing education
ER -
TY - CONF
AU - Cheng, W.
AU - Henzgen, S.
AU - Hüllermeier, Eyke
ID - 15752
T2 - In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Bamberg, Germany
TI - Labelwise versus pairwise decomposition in label ranking
ER -
TY - CONF
AU - Senge, Robin
AU - del Coz, J.
AU - Hüllermeier, Eyke
ID - 15753
T2 - In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Bamberg, Germany
TI - Rectifying classifier chains for multi-label classification, Bamberg, Germany
ER -
TY - CONF
AU - Busa-Fekete, Robert
AU - Fober, T.
AU - Hüllermeier, Eyke
ED - Hoffmann, F.
ED - Hüllermeier, Eyke
ID - 15755
T2 - in Proceedings 23th Workshop Computational Intelligence, Dortmund Germany
TI - Preference-based evolutionary optimization using generalized racing algorithms
ER -
TY - CONF
AU - Henzgen, S.
AU - Hüllermeier, Eyke
ED - Hoffmann, F.
ED - Hüllermeier, Eyke
ID - 15756
T2 - in Proceedings 23th Workshop Computational Intelligence, Dortmund Germany
TI - Weighted rank correlation measures based on fuzzy order relations
ER -
TY - CONF
AU - Weng, P.
AU - Busa-Fekete, Robert
AU - Hüllermeier, Eyke
ID - 15757
T2 - In Proceedings ECML/PKDD-Workshop on Reinforcement learning from Generalized Feedback:Beyond Numerical Rewards, Prague
TI - Interactive Q-learning with ordinal rewards and unreliable tutor
ER -
TY - CONF
AU - Busa-Fekete, Robert
AU - Szörenyi, B.
AU - Weng, P.
AU - Hüllermeier, Eyke
ID - 15758
T2 - In Proceedings ECML/PKDD-Workshop on Reinforcement learning from Generalized Feedback:Beyond Numerical Rewards, Prague
TI - Preference-based evolutionary direct policy search
ER -
TY - CONF
AU - Cheng, W.
AU - Hüllermeier, Eyke
ID - 15759
T2 - In Proceedings M-PREF`13, 7th Multidisciplinary Workshop on Advances in Preference Handling Beijing, China
TI - A nearest neigbor approach to label ranking based on generalized labelwise loss minimization
ER -
TY - CONF
AU - Shaker, Ammar
AU - Hüllermeier, Eyke
ED - Krempl, G.
ED - Zliobaite, I.
ED - Wang, Y.
ED - Forman, G.
ID - 15760
T2 - In Proceedings RealStream 2013, 1st International Workshop on Real-World Challenges for Data Stream Mining, Prague, Czech Republic
TI - Event history analysis on data streams: An application to earthquake occurence
ER -
TY - CONF
AU - Senge, Robin
AU - del Coz, J.J.
AU - Hüllermeier, Eyke
ED - Schmidt-Thieme, L.
ED - Spiliopoulou, M.
ID - 15761
T2 - In Proceedings of GFKL-2012, 36th Annual Conference of the German Classification Society, Studies in Classification, Data Analysis and Knowledge Organization, Hildesheim, Germany
TI - On the problem of error propagation in classier chains for multi-label classification. Data Analysis, Machine Learning and Knowledge Discovery
ER -
TY - CONF
AU - Fober, T.
AU - Klebe, G.
AU - Hüllermeier, Eyke
ED - Lausen, B.
ED - Van den Poel, D.
ED - Ultsch, A.
ID - 15763
T2 - In Proceedings GFKL-2011, Conference of the German Classification Society, Frankfurt Germany
TI - Local clique merging: An extension of the maximum common subgraph measure with applications in structural bioinformatics, Algorithms from and for Nature and Life
ER -
TY - JOUR
AU - Ardizzone, Vincenzo
AU - Lewandowski, Przemyslaw
AU - Luk, M. H.
AU - Tse, Y. C.
AU - Kwong, N. H.
AU - Lücke, Andreas
AU - Abbarchi, Marco
AU - Baudin, Emmanuel
AU - Galopin, Elisabeth
AU - Bloch, Jacqueline
AU - Lemaitre, Aristide
AU - Leung, P. T.
AU - Roussignol, Philippe
AU - Binder, Rolf
AU - Tignon, Jerome
AU - Schumacher, Stefan
ID - 15866
JF - Scientific Reports
SN - 2045-2322
TI - Formation and control of Turing patterns in a coherent quantum fluid
ER -
TY - JOUR
AU - Tautz, Raphael
AU - Da Como, Enrico
AU - Wiebeler, Christian
AU - Soavi, Giancarlo
AU - Dumsch, Ines
AU - Fröhlich, Nils
AU - Grancini, Giulia
AU - Allard, Sybille
AU - Scherf, Ullrich
AU - Cerullo, Giulio
AU - Schumacher, Stefan
AU - Feldmann, Jochen
ID - 15867
JF - Journal of the American Chemical Society
SN - 0002-7863
TI - Charge Photogeneration in Donor–Acceptor Conjugated Materials: Influence of Excess Excitation Energy and Chain Length
ER -
TY - JOUR
AU - Luk, M. H.
AU - Tse, Y. C.
AU - Kwong, N. H.
AU - Leung, P. T.
AU - Lewandowski, Przemyslaw
AU - Binder, R.
AU - Schumacher, Stefan
ID - 15868
JF - Physical Review B
SN - 1098-0121
TI - Transverse optical instability patterns in semiconductor microcavities: Polariton scattering and low-intensity all-optical switching
ER -
TY - JOUR
AU - Ling, Sanliang
AU - Schumacher, Stefan
AU - Galbraith, Ian
AU - Paterson, Martin J.
ID - 15870
JF - The Journal of Physical Chemistry C
SN - 1932-7447
TI - Excited-State Absorption of Conjugated Polymers in the Near-Infrared and Visible: A Computational Study of Oligofluorenes
ER -
TY - THES
AB - XML Encryption and XML Signature describe how to apply encryption and signing algorithms to XML documents. These specifications are implemented in a wide range of systems and frameworks processing sensitive data, including banking, eGovernment, eCommerce, military, and eHealth infrastructures. The article presents practical and highly critical attacks which allow to forge signed XML documents or reveal contents of encrypted XML data.
AU - Somorovsky, Juraj
ID - 15901
SN - 1611-2776
TI - On the insecurity of XML Security
ER -
TY - CONF
AU - Falkenberg, Andreas
AU - Mainka, Christian
AU - Somorovsky, Juraj
AU - Schwenk, Jörg
ID - 15902
SN - 9780769550251
T2 - 2013 IEEE 20th International Conference on Web Services
TI - A New Approach towards DoS Penetration Testing on Web Services
ER -
TY - JOUR
AU - Mainka, Christian
AU - Mladenov, Vladislav
AU - Somorovsky, Juraj
AU - Schwenk, Jörg
ID - 15903
JF - CEUR Workshop Proceedings
TI - Penetration test tool for XML-based web services
VL - 965
ER -
TY - CONF
AU - Jager, Tibor
AU - Paterson, Kenneth G.
AU - Somorovsky, Juraj
ID - 15918
T2 - 20th Annual Network and Distributed System Security Symposium, NDSS 2013, San Diego, California, USA, February 24-27, 2013
TI - One Bad Apple: Backwards Compatibility Attacks on State-of-the-Art Cryptography
ER -
TY - BOOK
AU - Sureth, Caren
ID - 14982
SN - 9783824469741
TI - Der Einfluss von Steuern auf Investitionsentscheidungen bei Unsicherheit
ER -
TY - CONF
AU - Böttcher, Stefan
AU - Hartel, Rita
AU - Jacobs, Thomas
ID - 15093
SN - 0302-9743
T2 - Big Data - 29th British National Conference on Databases, BNCOD 2013,
TI - Fast Multi-update Operations on Compressed XML Data
ER -
TY - CONF
AU - Böttcher, Stefan
AU - Brandenburg, Marc
AU - Hartel, Rita
ID - 15094
T2 - WEBIST 2013 - Proceedings of the 9th International Conference on Web Information Systems and Technologies
TI - DAG - Index - A Compressed Index for XML Keyword Search
ER -
TY - CONF
AU - Fallah Tehrani, A.
AU - Hüllermeier, Eyke
ED - Montero, J.
ED - Pasi, G.
ED - Ciucci, D.
ID - 15112
T2 - in Proceedings EUSFLAT-2013 8th International Conference on the European Society for Fuzzy Logic and Technology, Milano, Italy
TI - Ordinal Choquistic regression
ER -
TY - CONF
AU - Nasiri, N.
AU - Fober, T.
AU - Senge, Robin
AU - Hüllermeier, Eyke
ID - 15113
T2 - in Proceedings IFSA-2013 World Congress of the International Fuzzy Systems Association, Edmonton, Canada
TI - Fuzzy Pattern Trees as an alternative to rule-based fuzzy systems: Knowledge-driven, data-driven and hybrid modeling of colour yield in poyester dyeing, Edmonton, Canada
ER -
TY - CONF
AU - Böttcher, Stefan
AU - Bültmann, Alexander
AU - Hartel, Rita
AU - Schlüßler, Jonathan
ID - 15162
T2 - International Conference on Database and Expert Systems Applications
TI - Implementing Efficient Updates in Compressed Big Text Databases
ER -
TY - JOUR
AU - Owen, G Scott
AU - Domik, Gitta
AU - Ebert, David S
AU - Kohlhammer, J{\
AU - Rushmeier, Holly
AU - Santos, Beatriz Sousa
AU - Weiskopf, Daniel
ID - 15180
IS - 4
JF - IEEE computer graphics and applications
TI - How visualization courses have changed over the past 10 years
VL - 33
ER -
TY - JOUR
AU - Alford, Jennifer Ginger
AU - Jacob, Lucas
AU - Dietz, Paul
ID - 15282
IS - 6
JF - IEEE computer graphics and applications
TI - Animatronics Workshop: A Theater+ Engineering Collaboration at a High School
VL - 33
ER -
TY - CONF
AU - Arens, Stephan
AU - Bolte, Matthias
AU - Domik, Gitta
ED - Bronstein , Michael
ED - Favre , Jean
ED - Hormann, Kai
ID - 15284
SN - 978-3-905674-51-4
T2 - Vision, Modeling & Visualization
TI - Visualizing Dissections of the Heart in a Dataflow-based Shader Framework for Volume Rendering
ER -
TY - JOUR
AU - Niendorf, Thomas
AU - Leuders, Stefan
AU - Riemer, Andre
AU - Richard, Hans Albert
AU - Tröster, Thomas
AU - Schwarze, Dieter
ID - 15968
JF - Metallurgical and Materials Transactions B
SN - 1073-5615
TI - Highly Anisotropic Steel Processed by Selective Laser Melting
ER -
TY - JOUR
AU - Schmidt, H. C.
AU - Lauter, Christian
ID - 16014
IS - 3
JF - MaschinenMarkt Compositesworld
TI - Stahl-CFK-Strukturen wie Tiefziehteile fertigen
ER -
TY - JOUR
AU - Riemer, Andre
AU - Leuders, S.
AU - Richard, Hans A.
AU - Tröster, Thomas
ID - 16016
JF - Materials Testing
SN - 0025-5300
TI - Verhalten von lasergeschmolzenen Bauteilen aus der Titan-Aluminium-Legierung TiAl6V4 unter zyklischer Beanspruchung∗
ER -
TY - CONF
AU - Marten, Thorsten
AU - Block, Holger
AU - Tröster, Thomas
AU - Gerber, Thomas
AU - Sikora, Sascha
AU - Lenze, Franz-Josef
ID - 16017
TI - Graded Lightweight Structures Through Hot Forming
ER -
TY - CONF
AU - Lauter, Christian
AU - Hochschulz, T.
AU - Frantz, Meike
AU - Tröster, Thomas
ID - 16018
TI - Influences of Automotive Process Characteristics on Hybrid Structures
ER -
TY - CONF
AU - Siewers, Bernd
AU - Lauter, Christian
AU - Tröster, Thomas
ID - 16019
TI - Curing of fibre reinforced plastics by resistance heating of sheet metal in a hybrid structure
ER -
TY - CONF
AU - Tröster, Thomas
AU - Lauter, Christian
AU - Reuter, C.
ID - 16020
TI - Crashworthiness of Hybrid Structures
ER -
TY - CONF
AU - Siewers, Bernd
AU - Lauter, Christian
AU - Tröster, Thomas
ID - 16021
TI - Recycling of Automotive Sheet Metal-Fibre Reinforced Plastic-Hybrid Structures
ER -
TY - CONF
AU - Lauter, Christian
AU - Krooß, T.
AU - Tröster, Thomas
ID - 16022
TI - Manufacturing of Hybrid Structures by Prepreg Press Technology
ER -
TY - CONF
AU - Tröster, Thomas
AU - Lauter, Christian
AU - Reuter, C.
ID - 16023
TI - Leichtbau mit Hybridstrukturen im Automobil
ER -
TY - CONF
AU - Leuders, S.
AU - Riemer, A.
AU - Niendorf, T.
AU - Richard, H. A.
AU - Tröster, Thomas
ID - 16024
TI - On the Fatigue Behavior of TiAl6V4 Manufactured by Selective Laser Melting– Influence of Process Induced Defects
ER -
TY - CONF
AU - Marten, Thorsten
AU - Block, Holger
AU - Tröster, Thomas
ID - 16025
TI - Effizienter Leichtbau durch gradierte Eigenschaften im Presshärteprozess
ER -
TY - CONF
AU - Riemer, A.
AU - Leuders, S.
AU - Richard, H. A.
AU - Tröster, Thomas
ID - 16026
TI - Bewertung des Einflusses korrosiver Schädigung auf das Ermüdungsverhalten von CFK/Stahl-Hybridverbindungen
ER -
TY - JOUR
AU - Heider, D.
AU - Senge, Robin
AU - Cheng, W.
AU - Hüllermeier, Eyke
ID - 16044
IS - 16
JF - Bioinformatics
TI - Multilabel classification for exploiting cross-resistance information in HIV-1 drug resistence prediction
VL - 29
ER -
TY - JOUR
AU - Bösner, S.
AU - Bönisch, K.
AU - Haasenritter , J.
AU - Schlegel, P.
AU - Hüllermeier, Eyke
AU - Donner-Banzhoff, N.
ID - 16081
IS - 1
JF - BMC Family Practice
TI - Chest pain in primary care: is the localization of pain diagnostically helpful in the critical evaluation of patients? A cross sectional study.
VL - 14
ER -
TY - JOUR
AU - Haasenritter, J.
AU - Viniol, A.
AU - Becker, A.
AU - Bösner, S.
AU - Hüllermeier, Eyke
AU - Senge, Robin
AU - Donner-Banzhoff, N.
ID - 16086
JF - Zeitschrift für Evidenz, Fortbildung und Qualität im Gesundheitswesen (ZEFQ)
TI - Diagnose im Kontext - eine erweiterte Perspektive
VL - 107
ER -
TY - CHAP
AU - Lauter, Christian
AU - Tröster, Thomas
AU - Reuter, Corin
ID - 16096
SN - 9781118535288
T2 - Advanced Composite Materials for Automotive Applications
TI - Hybrid Structures Consisting of Sheet Metal and Fibre Reinforced Plastics for Structural Automotive Applications
ER -
TY - JOUR
AU - Bartley, Tim
AU - Donati, Gaia
AU - Jin, Xian-Min
AU - Datta, Animesh
AU - Barbieri, Marco
AU - Walmsley, Ian A.
ID - 16106
JF - Physical Review Letters
SN - 0031-9007
TI - Direct Observation of Sub-Binomial Light
ER -
TY - JOUR
AU - Bartley, Tim
AU - Crowley, Philip J. D.
AU - Datta, Animesh
AU - Nunn, Joshua
AU - Zhang, Lijian
AU - Walmsley, Ian
ID - 16107
JF - Physical Review A
SN - 1050-2947
TI - Strategies for enhancing quantum entanglement by local photon subtraction
ER -
TY - JOUR
AU - Vidrighin, Mihai
AU - Bartley, Tim
AU - Donati, Gaia
AU - Jin, Xian-Min
AU - Barbieri, Marco
AU - Kolthammer, W. Steven
AU - Datta, Animesh
AU - Walmsley, Ian A.
ID - 16108
JF - Quantum Measurements and Quantum Metrology
SN - 2299-114X
TI - Requirements for two-source entanglement concentration
ER -
TY - JOUR
AU - Shaker, A.
AU - Senge, R.
AU - Hüllermeier, Eyke
ID - 16123
JF - Information Sciences
TI - Evolving fuzzy pattern trees for binary classification on data streams
VL - 220
ER -
TY - BOOK
AU - Krimphove, Dieter
ID - 1626
TI - "Ihr betet an, was ihr nicht kennt" (Jo 4, 22) - Eine neue Sicht auf die Trinität
ER -
TY - BOOK
AU - Krimphove, Dieter
AU - Kruse, Oliver
ID - 1628
TI - Kommentar: MaComp Mindestanforderungen an die Compliance-Funktion und die weiteren Verhaltens-, Organisations- und Transparenzpflichten nach §§ 31 ff. WpHG für Wertpapierdienstleistungsunternehmen
ER -
TY - BOOK
AU - Krimphove, Dieter
ID - 1629
TI - Europarecht inklusive CD-ROM mit Gesetzen, Urteilen, Hörfassung und interaktiven Falllösungen
ER -
TY - CONF
AB - Today’s simulation software normally has fixed, built-in editing and visualization views adapted to a specific problem domain. Often this monolithic concept prevents collaborative editing altogether. Even with more flexible concepts, editing simulation models with a heterogeneous set of clients is not possible. In this article we describe a flexible concept for collaborative editing of simulation models with heterogeneous clients, such as web-based, desktop and mobile clients. The clients may even show different editing views adapted to the user’s role. The concept we describe in this paper overcomes several problems: First we need to be able to connect and manage a set of heterogeneous clients in the simulation software. The very different user inputs from the connected clients then need to be processed, interpreted and combined to allow editing in a collaborative way for all users. At last we show a prototypical integration of the presented concept into our research platform d3fact.
AU - Renken, Hendrik
AU - Brandt, Sascha
AU - Eichert, Felix A.
AU - Klaas, Alexander
ID - 16340
SN - 9780791845011
T2 - Volume 2: 32nd Computers and Information in Engineering Conference, Parts A and B
TI - Visualization and Collaborative Editing of Simulation Models With Heterogeneous Clients: Implemented Into the Simulator D3FACT
VL - 2
ER -
TY - CONF
AU - Klingler, Florian
AU - Dressler, Falko
AU - Cao, Jiannong
AU - Sommer, Christoph
ID - 16390
SN - 9781479907496
T2 - 2013 10th Annual Conference on Wireless On-demand Network Systems and Services (WONS)
TI - Use both lanes: Multi-channel beaconing for message dissemination in vehicular networks
ER -
TY - CONF
AB - Many 3D scenes (e.g. generated from CAD data) are composed of a multitude of objects that are nested in each other. A showroom, for instance, may contain multiple cars and every car has a gearbox with many gearwheels located inside. Because the objects occlude each other, only few are visible from outside. We present a new technique, Spherical Visibility Sampling (SVS), for real-time 3D rendering of such -- possibly highly complex -- scenes. SVS exploits the occlusion and annotates hierarchically structured objects with directional visibility information in a preprocessing step. For different directions, the directional visibility encodes which objects of a scene's region are visible from the outside of the regions' enclosing bounding sphere. Since there is no need to store a separate view space subdivision as in most techniques based on preprocessed visibility, a small memory footprint is achieved. Using the directional visibility information for an interactive walkthrough, the potentially visible objects can be retrieved very efficiently without the need for further visibility tests. Our evaluation shows that using SVS allows to preprocess complex 3D scenes fast and to visualize them in real time (e.g. a Power Plant model and five animated Boeing 777 models with billions of triangles). Because SVS does not require hardware support for occlusion culling during rendering, it is even applicable for rendering large scenes on mobile devices.
AU - Eikel, Benjamin
AU - Jähn, Claudius
AU - Fischer, Matthias
AU - Meyer auf der Heide, Friedhelm
ID - 16393
IS - 4
SN - 0167-7055
T2 - Computer Graphics Forum
TI - Spherical Visibility Sampling
VL - 32
ER -
TY - CHAP
AB - In order to evaluate the efficiency of algorithms for real-time 3D rendering, different properties like rendering time, occluded triangles, or image quality, need to be investigated. Since these properties depend on the position of the camera, usually some camera path is chosen, along which the measurements are performed. As those measurements cover only a small part of the scene, this approach hardly allows drawing conclusions regarding the algorithm's properties at arbitrary positions in the scene. The presented method allows the systematic and position-independent evaluation of rendering algorithms. It uses an adaptive sampling approach to approximate the distribution of a property (like rendering time) for all positions in the scene. This approximation can be visualized to produce an intuitive impression of the algorithm's behavior or be statistically analyzed for objectively rating and comparing algorithms. We demonstrate our method by evaluating performance aspects of a known occlusion culling algorithm.
AU - Jähn, Claudius
AU - Eikel, Benjamin
AU - Fischer, Matthias
AU - Petring, Ralf
AU - Meyer auf der Heide, Friedhelm
ID - 16406
SN - 0302-9743
T2 - Advances in Visual Computing
TI - Evaluation of Rendering Algorithms Using Position-Dependent Scene Properties
ER -
TY - CHAP
AB - Many virtual 3D scenes, especially those that are large, are not structured evenly. For such heterogeneous data, there is no single algorithm that is able to render every scene type at each position fast and with the same high image quality. For a small set of scenes, this situation can be improved if different rendering algorithms are manually assigned to particular parts of the scene by an experienced user. We introduce the Multi-Algorithm-Rendering method. It automatically deploys different rendering algorithms simultaneously for a broad range of scene types. The method divides the scene into subregions and measures the behavior of different algorithms for each region in a preprocessing step. During runtime, this data is utilized to compute an estimate for the quality and running time of the available rendering algorithms from the observer's point of view. By solving an optimizing problem, the image quality can be optimized by an assignment of algorithms to regions while keeping the frame rate almost constant.
AU - Petring, Ralf
AU - Eikel, Benjamin
AU - Jähn, Claudius
AU - Fischer, Matthias
AU - Meyer auf der Heide, Friedhelm
ID - 16407
SN - 0302-9743
T2 - Advances in Visual Computing
TI - Real-Time 3D Rendering of Heterogeneous Scenes
ER -
TY - CONF
AU - Bause, F.
AU - Rautenberg, J.
AU - Henning, Bernd
ID - 13879
TI - A3.2 - Design, modeling and identification of an ultrasonic composite transducer for target impedance independent short pulse generation
ER -
TY - CONF
AU - Hoof, C.
AU - Wetzlar, D.
AU - Henning, Bernd
ID - 13880
TI - 3.2 - Infrared reflectance measurements of thin films with time variable surface roughness or texture
ER -
TY - JOUR
AU - Rautenberg, Jens
AU - Bause, Fabian
AU - Henning, Bernd
ID - 13881
JF - tm - Technisches Messen
SN - 0171-8096
TI - Messsystem zur Bestimmung akustischer Kenngrößen stark absorbierender, transversal isotroper Kunststoffe
ER -
TY - JOUR
AU - Schmitt, Martin
AU - Olfert, Sergei
AU - Rautenberg, Jens
AU - Lindner, Gerhard
AU - Henning, Bernd
AU - Reindl, Leonhard
ID - 13882
JF - Sensors
SN - 1424-8220
TI - Multi Reflection of Lamb Wave Emission in an Acoustic Waveguide Sensor
ER -
TY - JOUR
AB - <p><strong>Abstract.</strong> In this paper, a new acoustic sensor principle for coating detection within liquid-filled tubes and containers based on mode conversion of leaky Lamb waves is introduced. Leaky Lamb waves are excited and detected by single-phase transducers, which are attached on the outer side of a tube or container. By transmission time and amplitude measurements, coating formation within the liquid-filled tube and container is detected non-invasively. This new sensor principle is subdivided into the separate considerations of Lamb wave excitation, mode conversion and inverse mode conversion. The Lamb wave excitation by a single-phase transducer is visualized by scanning laser Doppler vibrometer imaging. The mode conversion process of leaky Lamb waves is measured by membrane hydrophone measurements and Schlieren visualization; afterwards, the measured emission angles are compared with the theoretical one. The inverse mode conversion process of pressure waves back to leaky Lamb waves is visualized by Schlieren images. By merging the results of Lamb wave excitation, mode conversion and inverse mode conversion, the new sensor concept is explained. Theoretical considerations and measurement results of adhesive tape coating inside a liquid-filled plastic tube and a liquid-filled stainless steel container verify the new acoustic sensor principle. Finally the measuring sensitivity and the technical realization are discussed.</p>
AU - Schmitt, M.
AU - Schmidt, K.
AU - Olfert, S.
AU - Rautenberg, J.
AU - Lindner, G.
AU - Henning, Bernd
AU - Reindl, L. M.
ID - 13883
JF - Journal of Sensors and Sensor Systems
SN - 2194-878X
TI - Detection of coatings within liquid-filled tubes and containers by mode conversion of leaky Lamb waves
ER -
TY - JOUR
AU - Schröder, Andreas
AU - Henning, Bernd
ID - 13884
JF - tm - Technisches Messen
SN - 0171-8096
TI - Luftultraschall-Abstandsmessung mit digitaler Signalverarbeitung zur Verkürzung des Mindestabstandes
ER -
TY - CONF
AU - Schröder, A.
AU - Henning, Bernd
ID - 13885
TI - B5.4 - Signal Processing for Single Transducer Distance Measurement Applications to Reduce the Blind Zone
ER -
TY - CONF
AB - The condensation polymer Polyamide 6 (PA 6) is a thermoplastic resin with high tensile strength and rigidity at comparatively low costs for raw material and processing. This is why PA 6 is a common material for the production of ropes, gears or bearings. Apart from that, a relative new application is the thermoforming of glass fibre laminate sheets with PA 6 as matrix material. The prediction the rest of life period of such high-tech materials is still a research objective. A first step, and also part of this contribution, is the nondestructive investigation of the matrix material. The ageing of PA 6 is mainly affected by thermo- and photo-oxidation as well as post-condensation, which e.g. results in a change of physical properties. For this contribution the acoustical and mechanical material parameters of artificially aged PA 6 have been determined with high frequency ultrasound (1 MHz) and quasi-static experiments. We will give a short description of both experimental setups as well as the ageing procedure. Finally we will discuss the correlation between the experimental results, finding that there is a good correlation between sound velocity and tensile strength.
AU - Bause, Fabian
AU - Budde, Christopher
AU - Rautenberg, Jens
AU - Henning, Bernd
AU - Moritzer, Elmar
ID - 13949
TI - Utilizing ultrasound material parameter determination for the characterization of different stages of ageing in Polyamide 6
ER -
TY - CONF
AB - Due to the modal behavior of geometrically bounded media, ultrasonic guided waves propagate in waveguides as a combination of multiple dispersive wave packets, which can be simulated as a PDE-problem. Given an excitation in time and space, multiple eigen-modes derived from solving the PDE may propagate each with different dispersion characteristics and weight. Considering a broad-band pulse exciting from one side of a hollow cylindrical waveguide, the received signal at the other side consists of all propagating eigen-modes that can be considered approximately as the narrow band signals. The synchrosqueezed wavelet transform (SWT) is employed to sharpen the time-frequency representation (TFR) of the received waveguide signal. Using a ridge detection algorithm, we successively separate the synchrosqueezed TFR into several narrow band TFRs which can be identified as oscillatory components with time-varying frequency. Then those separated TFRs are reconstructed as narrow band signals using the inverse SWT. Based on an analytical model of the waveguide, we observe that the decomposed signals are similar to those dominant eigen-modes simulated above. Moreover, also the group delay and, therefore, the group velocity of each decomposed signal can be estimated well. This is of high interest when analyzing the characteristic of a given waveguide, such as acoustical property measurements or non-destructive testing.
AU - Bause, Fabian
AU - Huang, Boqiang
AU - Kunoth, Angela
AU - Henning, Bernd
ID - 13950
TI - Ultrasonic Waveguide Signal Decomposition Using the Synchrosqueezed Wavelet Transform for Modal Group Delay Computation
ER -
TY - CONF
AU - Bause, Fabian
AU - Unverzagt, Carsten
AU - Walther, Andrea
AU - Henning, Bernd
ID - 13951
TI - Utilizing interval-Newton approach for the reliable computation of roots in analytical waveguide modeling
ER -
TY - JOUR
AU - Bause, Fabian
AU - Walther, Andrea
AU - Rautenberg, Jens
AU - Henning, Bernd
ID - 13952
IS - 12
JF - Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
TI - Reliable Computation of Roots in Analytical Waveguide Modeling Using an Interval-Newton Approach and Algorithmic Differentiation
VL - 60
ER -
TY - JOUR
AB - Zur berührungslosen Materialfeuchtebestimmung wird unter anderem die Infrarotreflexionsmessung genutzt. Diese nichtinvasive und schnelle Methode ist geeignet sowohl zur Bestimmung der Feuchte von Schüttgütern als auch zur Charakterisierung von Trocknungsprozessen von Lacken. Die reflektierte Strahlung ist dabei abh{\"a}ngig von Absorption und Streuung in der Beschichtung sowie von den temporären und lokalen Reflexionseigenschaften des Messobjektes. ln dieser Untersuchung ist ein experimenteller Aufbau zur simultanen Messung der gerichteten und der diffus reflektierten Strahlungsanteile realisiert.
AU - Hoof, Christian
AU - Wetzlar, Dietmar
AU - Henning, Bernd
ID - 13954
IS - 12
JF - Technisches Messen
TI - Modellgestützte NIR-Materialfeuchtemessung mittels Multidetektoranordnung
ER -
TY - CONF
AU - Hoof, Christian
AU - Wetzlar, Dietmar
AU - Henning, Bernd
ID - 13955
TI - Untersuchung zum Trocknungsverhalten poröser Materialien durch NIR-Reflexionsmessungen
ER -
TY - CONF
AU - Kulshreshtha, Kshitij
AU - Bause, Fabian
AU - Rautenberg, Jens
AU - Unverzagt, Carsten
ID - 13956
TI - A modified electrode topology with increased sensitivity of electrical impedance to piezoelectic material parameters
ER -
TY - CONF
AB - Single transducer distance sensors have a blind zone because normally the electrical received signal cannot be detected during transmitting. There are several approaches to realize a simultaneous transmit and receive operation. Digital signal processing is the best solution for narrow band systems (air ultrasound transducer) especially when the transmitted signal is coded. Thereby a mathematical model is used to estimate the electrical received signal. A drawback of the digital signal processing is the required computing time to estimate the model and the time of flight of an echo. In this contribution the computing time is reduced significantly by using base band signals for the signal processing. The signal-processing is subdivided into the following steps: Preprocessing, model identification, estimation of the received signal and echo detection. Beside the model identification the signal-preprocessing is an important part of the system. It depends on the time of flight of an echo (close echo, far echo) and the state of the system (single measurement, averaging). The whole system is evaluated with measurements using a 40 kHz air ultrasound transducer in front of a reflector with varying distances between 0 mm and 1000 mm.
AU - Schröder, Andreas
AU - Henning, Bernd
ID - 13957
T2 - Proceedings of the International Conference on Acoustics
TI - Improved Signal Processing for an Ultrasonic Distance Sensor with Reduced Blind Zone
ER -
TY - CONF
AU - Unverzagt, Carsten
AU - Rautenberg, Jens
AU - Henning, Bernd
AU - Kulshreshtha, Kshitij
ED - Siong, Gan Woon
ED - Piang, Lim Siak
ED - Cheong, Khoo Boo
ID - 13958
SN - 978-981-07-5938-4
T2 - Proceedings of the 2013 International Congress on Ultrasonics
TI - Modified electrode shape for the improved determination of piezoelectric material parameters
ER -