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70 Publications
2010 | Conference Paper | LibreCat-ID: 9760
C. Sondermann-Wölke, T. Hemsel, W. Sextro, J. Gausemeier, and S. Pook, “Guideline for the dependability-oriented design of self-optimizing systems,” in Industrial Informatics (INDIN), 2010 8th IEEE International Conference on, 2010, pp. 739–744.
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| DOI
2010 | Conference Paper | LibreCat-ID: 37057
G. B. Defo, W. Müller, and C. Kuznik, “Verification of a CAN Bus Model in SystemC with Functional Coverage,” presented at the International Symposium on Industrial Embedded System (SIES), Trento, Italy, 2010, doi: 10.1109/SIES.2010.5551379.
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2009 | Conference Paper | LibreCat-ID: 9736
B. Klöpper, C. Sondermann-Wölke, C. Romaus, and H. Vöcking, “Probabilistic planning integrated in a multi-level dependability concept for mechatronic systems,” in Computational Intelligence in Control and Automation, 2009. CICA 2009. IEEE Symposium on, 2009, pp. 104–111.
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| DOI
2009 | Conference Paper | LibreCat-ID: 9742
C. Sondermann-Wölke and W. Sextro, “Towards the Integration of Condition Monitoring in Self-Optimizing Function Modules,” in Future Computing, Service Computation, Cognitive, Adaptive, Content, Patterns, 2009. COMPUTATIONWORLD ’09. Computation World:, 2009, pp. 15–20.
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2007 | Journal Article | LibreCat-ID: 11927 | 
E. Warsitz and R. Haeb-Umbach, “Blind Acoustic Beamforming Based on Generalized Eigenvalue Decomposition,” IEEE Transactions on Audio, Speech, and Language Processing, vol. 15, no. 5, pp. 1529–1539, 2007.
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2004 | Conference Paper | LibreCat-ID: 39078
J. Gausemeier, W. Müller, V. Paelke, J. Bauch, Q. Shen, and R. Radkowski, “Virtual Prototyping Of Self-Optimizing Mechatronic Systems,” presented at the 8th International Design Conference , Dubrovnik, 2004.
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2003 | Journal Article | LibreCat-ID: 6065 |
I. Scharlau and U. Ansorge, “Direct parameter specification of an attention shift: Evidence from perceptual latency priming.,” Vision Research, vol. 43, no. 12, pp. 1351–1363, 2003.
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2001 | Journal Article | LibreCat-ID: 11778 |
R. Haeb-Umbach, “Automatic generation of phonetic regression class trees for MLLR adaptation,” IEEE Transactions on Speech and Audio Processing, vol. 9, no. 3, pp. 299–302, 2001.
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