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DOI: 10.1109/ReConFig.2013.6732280

Bick, Christian. Beschleunigung von Tiefenberechnung Aus Stereobildern Durch FPGA-Basierte Datenflussrechner. Paderborn University, 2013.
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Boschmann, Alexander, et al. “Improving Transient State Myoelectric Signal Recognition in Hand Movement Classification Using Gyroscopes.” Proc. IEEE Int. Conf. Eng. Med. Biolog. (EMBC), 2013.
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Boschmann, Alexander, and Marco Platzner. “Reducing the Limb Position Effect in Pattern Recognition Based Myoelectric Control Using a High Density Electrode Array.” Proc. IEEE ISSNIP Biosignals and Biorobotics Conference (BRC), 2013.
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Glette, Kyrre, et al. “Investigating Evolvable Hardware Classification for the BioSleeve Electromyographic Interface.” IEEE Intl. Conf. on Evolvable Systems (ICES), vol. 1, Springer, 2013, pp. 1–1.
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Kaufmann, Paul. Adapting Hardware Systems by Means of Multi-Objective Evolution. Logos Verlag, 2013.
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Kaufmann, Paul, et al. “Classification of Electromyographic Signals: Comparing Evolvable Hardware to Conventional Classifiers.”10.1109/TEVC.2012.2185845__IEEE Transactions on Evolutionary Computation, vol. 17, no. 1, 2013, pp. 46–63, doi:10.1109/TEVC.2012.2185845.
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Knoop, Michael. Behavior Models for Electric Vehicles. IWES Kassel, 2013.
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Nofen, Barbara. Verbesserung Der Erkennungsrate Eines Systems Zur Klassifikation von EMG-Signalen Durch Den Einsatz Eines Hybriden Lagesensors. Paderborn University, 2013.
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Pudelko, Daniel. Überquerung Der Styx - Betriebsparametervariation Und Fehlerverhalten Eines Platform FPGAs. Paderborn University, 2013.
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