[{"type":"conference_abstract","keyword":["Micromechanics","Fast Fourier Transform (FFT)","Reduced Order Modelling","Homogenization"],"department":[{"_id":"9"},{"_id":"321"},{"_id":"149"}],"date_created":"2021-03-11T09:29:55Z","project":[{"name":"Computing Resources Provided by the Paderborn Center for Parallel Computing","_id":"52"}],"citation":{"short":"S.R. Tinkloh, T. Wu, T. Tröster, T. Niendorf, in: 2021.","chicago":"Tinkloh, Steffen Rainer, Tao Wu, Thomas Tröster, and Thomas Niendorf. “Development of a Submodel Technique for FFT-Based Solvers in Micromechanical Analysis,” 2021.","ieee":"S. R. Tinkloh, T. Wu, T. Tröster, and T. Niendorf, “Development of a submodel technique for FFT-based solvers in micromechanical analysis,” presented at the 2nd International Conference on Theoretical, Analytical and Computational Methods for Composite Materials and Composite Structures (online), 2021.","apa":"Tinkloh, S. R., Wu, T., Tröster, T., &#38; Niendorf, T. (2021). Development of a submodel technique for FFT-based solvers in micromechanical analysis. Presented at the 2nd International Conference on Theoretical, Analytical and Computational Methods for Composite Materials and Composite Structures (online).","bibtex":"@inproceedings{Tinkloh_Wu_Tröster_Niendorf_2021, title={Development of a submodel technique for FFT-based solvers in micromechanical analysis}, author={Tinkloh, Steffen Rainer and Wu, Tao and Tröster, Thomas and Niendorf, Thomas}, year={2021} }","ama":"Tinkloh SR, Wu T, Tröster T, Niendorf T. Development of a submodel technique for FFT-based solvers in micromechanical analysis. In: ; 2021.","mla":"Tinkloh, Steffen Rainer, et al. <i>Development of a Submodel Technique for FFT-Based Solvers in Micromechanical Analysis</i>. 2021."},"user_id":"72722","ddc":["620"],"_id":"21442","language":[{"iso":"eng"}],"date_updated":"2022-01-06T06:54:59Z","title":"Development of a submodel technique for FFT-based solvers in micromechanical analysis","status":"public","year":"2021","author":[{"id":"72722","first_name":"Steffen Rainer","last_name":"Tinkloh","full_name":"Tinkloh, Steffen Rainer"},{"last_name":"Wu","first_name":"Tao","full_name":"Wu, Tao"},{"id":"553","full_name":"Tröster, Thomas","last_name":"Tröster","first_name":"Thomas"},{"first_name":"Thomas","last_name":"Niendorf","full_name":"Niendorf, Thomas"}],"conference":{"start_date":"2021-03-05","name":"2nd International Conference on Theoretical, Analytical and Computational Methods for Composite Materials and Composite Structures (online)","end_date":"2021-03-07"}},{"date_updated":"2022-01-06T06:51:12Z","author":[{"last_name":"Tran Vu","first_name":"Dang Hai","full_name":"Tran Vu, Dang Hai"},{"first_name":"Reinhold","last_name":"Haeb-Umbach","full_name":"Haeb-Umbach, Reinhold","id":"242"}],"status":"public","title":"Blind speech separation employing directional statistics in an Expectation Maximization framework","year":"2010","user_id":"44006","doi":"10.1109/ICASSP.2010.5495994","_id":"11913","language":[{"iso":"eng"}],"page":"241-244","main_file_link":[{"url":"https://groups.uni-paderborn.de/nt/pubs/2010/DaHa10-2.pdf","open_access":"1"}],"abstract":[{"lang":"eng","text":"In this paper we propose to employ directional statistics in a complex vector space to approach the problem of blind speech separation in the presence of spatially correlated noise. We interpret the values of the short time Fourier transform of the microphone signals to be draws from a mixture of complex Watson distributions, a probabilistic model which naturally accounts for spatial aliasing. The parameters of the density are related to the a priori source probabilities, the power of the sources and the transfer function ratios from sources to sensors. Estimation formulas are derived for these parameters by employing the Expectation Maximization (EM) algorithm. The E-step corresponds to the estimation of the source presence probabilities for each time-frequency bin, while the M-step leads to a maximum signal-to-noise ratio (MaxSNR) beamformer in the presence of uncertainty about the source activity. Experimental results are reported for an implementation in a generalized sidelobe canceller (GSC) like spatial beamforming configuration for 3 speech sources with significant coherent noise in reverberant environments, demonstrating the usefulness of the novel modeling framework."}],"citation":{"short":"D.H. Tran Vu, R. Haeb-Umbach, in: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2010), 2010, pp. 241–244.","chicago":"Tran Vu, Dang Hai, and Reinhold Haeb-Umbach. “Blind Speech Separation Employing Directional Statistics in an Expectation Maximization Framework.” In <i>IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2010)</i>, 241–44, 2010. <a href=\"https://doi.org/10.1109/ICASSP.2010.5495994\">https://doi.org/10.1109/ICASSP.2010.5495994</a>.","ieee":"D. H. Tran Vu and R. Haeb-Umbach, “Blind speech separation employing directional statistics in an Expectation Maximization framework,” in <i>IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2010)</i>, 2010, pp. 241–244.","apa":"Tran Vu, D. H., &#38; Haeb-Umbach, R. (2010). Blind speech separation employing directional statistics in an Expectation Maximization framework. In <i>IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2010)</i> (pp. 241–244). <a href=\"https://doi.org/10.1109/ICASSP.2010.5495994\">https://doi.org/10.1109/ICASSP.2010.5495994</a>","bibtex":"@inproceedings{Tran Vu_Haeb-Umbach_2010, title={Blind speech separation employing directional statistics in an Expectation Maximization framework}, DOI={<a href=\"https://doi.org/10.1109/ICASSP.2010.5495994\">10.1109/ICASSP.2010.5495994</a>}, booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2010)}, author={Tran Vu, Dang Hai and Haeb-Umbach, Reinhold}, year={2010}, pages={241–244} }","ama":"Tran Vu DH, Haeb-Umbach R. Blind speech separation employing directional statistics in an Expectation Maximization framework. In: <i>IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2010)</i>. ; 2010:241-244. doi:<a href=\"https://doi.org/10.1109/ICASSP.2010.5495994\">10.1109/ICASSP.2010.5495994</a>","mla":"Tran Vu, Dang Hai, and Reinhold Haeb-Umbach. “Blind Speech Separation Employing Directional Statistics in an Expectation Maximization Framework.” <i>IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2010)</i>, 2010, pp. 241–44, doi:<a href=\"https://doi.org/10.1109/ICASSP.2010.5495994\">10.1109/ICASSP.2010.5495994</a>."},"publication":"IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2010)","department":[{"_id":"54"}],"oa":"1","type":"conference","keyword":["array signal processing","blind source separation","blind speech separation","complex vector space","complex Watson distribution","directional statistics","expectation-maximisation algorithm","expectation maximization algorithm","Fourier transform","Fourier transforms","generalized sidelobe canceller","interference suppression","maximum signal-to-noise ratio beamformer","microphone signal","probabilistic model","spatial aliasing","spatial beamforming configuration","speech enhancement","statistical distributions"],"date_created":"2019-07-12T05:30:40Z"}]