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8 Publications


2018 | Journal Article | LibreCat-ID: 8167
S. Gharibian and J. Sikora, “Ground State Connectivity of Local Hamiltonians,” ACM Transactions on Computation Theory (TOCT), vol. 10, no. 2, pp. 8:1-8:28, 2018.
LibreCat | DOI | Download (ext.) | arXiv
 

2013 | Conference Paper | LibreCat-ID: 11917
D. H. T. Vu and R. Haeb-Umbach, “Using the turbo principle for exploiting temporal and spectral correlations in speech presence probability estimation,” in 38th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2013), 2013, pp. 863–867.
LibreCat | DOI
 

2012 | Conference Paper | LibreCat-ID: 9784
M. Hunstig, T. Hemsel, and W. Sextro, “An efficient simulation technique for high-frequency piezoelectric inertia motors,” in Ultrasonics Symposium (IUS), 2012 IEEE International, 2012, pp. 277–280.
LibreCat | DOI
 

2010 | Conference Paper | LibreCat-ID: 11726
M. Bevermeier, O. Walter, S. Peschke, and R. Haeb-Umbach, “Barometric height estimation combined with map-matching in a loosely-coupled Kalman-filter,” in 7th Workshop on Positioning Navigation and Communication (WPNC 2010), 2010, pp. 128–134.
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2009 | Conference Paper | LibreCat-ID: 11723
M. Bevermeier, S. Peschke, and R. Haeb-Umbach, “Robust vehicle localization based on multi-level sensor fusion and online parameter estimation,” in 6th Workshop on Positioning Navigation and Communication (WPNC 2009), 2009, pp. 235–242.
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2009 | Journal Article | LibreCat-ID: 11938
S. Windmann and R. Haeb-Umbach, “Parameter Estimation of a State-Space Model of Noise for Robust Speech Recognition,” IEEE Transactions on Audio, Speech, and Language Processing, vol. 17, no. 8, pp. 1577–1590, 2009.
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2008 | Conference Paper | LibreCat-ID: 11939
S. Windmann and R. Haeb-Umbach, “Modeling the dynamics of speech and noise for speech feature enhancement in ASR,” in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2008), 2008, pp. 4409–4412.
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2006 | Conference Paper | LibreCat-ID: 11943
S. Windmann and R. Haeb-Umbach, “Iterative Speech Enhancement using a Non-Linear Dynamic State Model of Speech and its Parameters,” in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2006), 2006, vol. 1, p. I.
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