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M. Knoop, Behavior Models for Electric Vehicles. IWES Kassel, 2013.
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B. Nofen, Verbesserung der Erkennungsrate eines Systems zur Klassifikation von EMG-Signalen durch den Einsatz eines hybriden Lagesensors. Paderborn University, 2013.
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D. Pudelko, Überquerung der Styx - Betriebsparametervariation und Fehlerverhalten eines Platform FPGAs. Paderborn University, 2013.
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H. Riebler, Identifikation und Wiederherstellung von kryptographischen Schlüsseln mit FPGAs. Paderborn University, 2013.
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A. Sprenger, MiBenchHybridf: Erweiterung eines Benchmarks um Hardwarebeschleunigung. Paderborn University, 2013.
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P. Steppeler, Beschleunigung von Einzelbild-Erkennungsverfahren auf Datenfluss basierenden HPC Systemen. Paderborn University, 2013.
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C. Toebermann et al., “Real-Time Simulation of Distribution Grids with high Penetration of Regenerative and Distributed Generation,” in Real-Time Conference, 2013.
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H. Ghasemzadeh Mohammadi, P.-E. Gaillardon, M. Yazdani, and G. De Micheli, “A fast TCAD-based methodology for Variation analysis of emerging nano-devices,” in 2013 IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFTS), 2013, pp. 83–88.
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P.-E. Gaillardon, H. Ghasemzadeh Mohammadi, and G. De Micheli, “Vertically-stacked silicon nanowire transistors with controllable polarity: A robustness study,” in 2013 14th Latin American Test Workshop-LATW, 2013, pp. 1–6.
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S. Böttcher, M. Feldotto, and R. Hartel, “Schema-based Parallel Compression and Decompression of XML Data,” in WEBIST 2013 - Proceedings of the 9th International Conference on Web Information Systems and Technologies, Aachen, Germany, 8-10 May, 2013, 2013, pp. 77–86.
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A. H. Abdelaziz, S. Zeiler, D. Kolossa, V. Leutnant, and R. Haeb-Umbach, “GMM-based significance decoding,” in Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on, 2013, pp. 6827–6831.
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A. Chinaev and R. Haeb-Umbach, “MAP-based Estimation of the Parameters of a Gaussian Mixture Model in the Presence of Noisy Observations,” in 38th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2013), 2013, pp. 3352–3356.
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A. Chinaev, R. Haeb-Umbach, J. Taghia, and R. Martin, “Improved Single-Channel Nonstationary Noise Tracking by an Optimized MAP-based Postprocessor,” in 38th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2013), 2013, pp. 7477–7481.
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G. Enzner, D. Schmid, and R. Haeb-Umbach, “On the Acoustic Channel Identification in Multi-Microphone Systems via Adaptive Blind Signal Enhancement Techniques,” in 21th European Signal Processing Conference (EUSIPCO 2013), 2013.
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J. Heymann, O. Walter, R. Haeb-Umbach, and B. Raj, “Unsupervised Word Segmentation from Noisy Input,” in Automatic Speech Recognition and Understanding Workshop (ASRU 2013), 2013.
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M. K. Hoang and R. Haeb-Umbach, “Parameter estimation and classification of censored Gaussian data with application to WiFi indoor positioning,” in 38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013), 2013, pp. 3721–3725.
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K. Kinoshita et al., “The reverb challenge: a common evaluation framework for dereverberation and recognition of reverberant speech,” in  IEEE Workshop on Applications of Signal Processing to Audio and Acoustics , 2013, pp. 22–23.
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V. Leutnant, A. Krueger, and R. Haeb-Umbach, “Bayesian Feature Enhancement for Reverberation and Noise Robust Speech Recognition,” IEEE Transactions on Audio, Speech, and Language Processing, vol. 21, no. 8, pp. 1640–1652, 2013.
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D. H. Tran Vu and R. Haeb-Umbach, “Blind Speech Separation Exploiting Temporal and Spectral Correlations Using Turbo Decoding of 2D-HMMs,” in 21th European Signal Processing Conference (EUSIPCO 2013), 2013.
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