Kaufmann, P., Glette, K., Gruber, T., Platzner, M., Torresen, J., &; Sick, B. (2013). Classification of Electromyographic Signals: Comparing Evolvable Hardware to Conventional Classifiers. IEEE Transactions on Evolutionary Computation, 17(1), 46–63.https://doi.org/10.1109/TEVC.2012.2185845 
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Knoop, M. (2013). Behavior Models for Electric Vehicles. IWES Kassel.
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Nofen, B. (2013). Verbesserung der Erkennungsrate eines Systems zur Klassifikation von EMG-Signalen durch den Einsatz eines hybriden Lagesensors. Paderborn University.
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Pudelko, D. (2013). Überquerung der Styx - Betriebsparametervariation und Fehlerverhalten eines Platform FPGAs. Paderborn University.
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Riebler, H. (2013). Identifikation und Wiederherstellung von kryptographischen Schlüsseln mit FPGAs. Paderborn University.
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Sprenger, A. (2013). MiBenchHybridf: Erweiterung eines Benchmarks um Hardwarebeschleunigung. Paderborn University.
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Steppeler, P. (2013). Beschleunigung von Einzelbild-Erkennungsverfahren auf Datenfluss basierenden HPC Systemen. Paderborn University.
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Toebermann, C., Geibel, D., Hau, M., Brandl, R., Kaufmann, P., Ma, C.,  Degner, T. (2013). Real-Time Simulation of Distribution Grids with high Penetration of Regenerative and Distributed Generation. In Real-Time Conference. OPAL RT Paris.
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Ghasemzadeh Mohammadi, H., Gaillardon, P.-E., Yazdani, M., &; De Micheli, G. (2013). 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) (pp. 83–88). IEEE.https://doi.org/10.1109/DFT.2013.6653587 
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Gaillardon, P.-E., Ghasemzadeh Mohammadi, H., &; De Micheli, G. (2013). Vertically-stacked silicon nanowire transistors with controllable polarity: A robustness study. In 2013 14th Latin American Test Workshop-LATW (pp. 1–6). IEEE.https://doi.org/10.1109/LATW.2013.6562673 
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Böttcher, S., Feldotto, M., &; Hartel, R. (2013). 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 (pp. 77–86).https://doi.org/10.5220/0004366300770086 
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Abdelaziz, A. H., Zeiler, S., Kolossa, D., Leutnant, V., &; Haeb-Umbach, R. (2013). GMM-based significance decoding. In Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on (pp. 6827–6831).https://doi.org/10.1109/ICASSP.2013.6638984 
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Chinaev, A., &; Haeb-Umbach, R. (2013). 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) (pp. 3352–3356).https://doi.org/10.1109/ICASSP.2013.6638279 
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Chinaev, A., Haeb-Umbach, R., Taghia, J., &; Martin, R. (2013). Improved Single-Channel Nonstationary Noise Tracking by an Optimized MAP-based Postprocessor. In 38th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2013) (pp. 7477–7481).https://doi.org/10.1109/ICASSP.2013.6639116 
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Enzner, G., Schmid, D., &; Haeb-Umbach, R. (2013). On the Acoustic Channel Identification in Multi-Microphone Systems via Adaptive Blind Signal Enhancement Techniques. In 21th European Signal Processing Conference (EUSIPCO 2013).
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Heymann, J., Walter, O., Haeb-Umbach, R., &; Raj, B. (2013). Unsupervised Word Segmentation from Noisy Input. In Automatic Speech Recognition and Understanding Workshop (ASRU 2013).
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Hoang, M. K., &; Haeb-Umbach, R. (2013). 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) (pp. 3721–3725).https://doi.org/10.1109/ICASSP.2013.6638353 
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Kinoshita, K., Delcroix, M., Yoshioka, T., Nakatani, T., Habets, E., Haeb-Umbach, R.,  Raj, B. (2013). 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  (pp. 22–23).
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Leutnant, V., Krueger, A., &; Haeb-Umbach, R. (2013). Bayesian Feature Enhancement for Reverberation and Noise Robust Speech Recognition. IEEE Transactions on Audio, Speech, and Language Processing, 21(8), 1640–1652.https://doi.org/10.1109/TASL.2013.2258013 
LibreCat: /record/11862
DOI: 10.1109/TASL.2013.2258013

Tran Vu, D. H., &; Haeb-Umbach, R. (2013). Blind Speech Separation Exploiting Temporal and Spectral Correlations Using Turbo Decoding of 2D-HMMs. In 21th European Signal Processing Conference (EUSIPCO 2013).
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