Selected Publications

J. Anemüller. Maximization of Component Disjointness: a Criterion for Blind Source Separation. 7th International Conference on Independent Component Analysis and Signal Separation, London, UK, 9 - 12 September 2007. Accepted for publication.

I. Holube, J. Bitzer, J. Anemüller, B. Kollmeier and M. Vlaming. Speech-like test signals for hearing instruments. International Hearing Aid Research Conference, Lake Tahoe, CA, August 2006.

J. Anemüer, J.-R. Duann, T. J. Sejnowski and S. Makeig. Spatio-temporal dynamics in fMRI recordings revealed with complex independent component analysis. Neurocomputing, 69:1502-1512, 2006.
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J. Anemüer. Second-order Separation of Multidimensional Sources with Constrained Mixing System. Proceedings of the sixth International Conference on Independent Component Analysis and Blind Signal Separation, pages 16-23, Charleston, SC, March 5-8 2006.
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T. Wesker, B. Meyer, K. Wagener, J. Anemüer, A. Mertins and B. Kollmeier. Oldenburg logatome speech corpus (OLLO) for speech recognition experiments with humans and machines. Proceedings Interspeech 2005, pages 1273-1276. Lisbon, Portugal, September 2005.
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J. Anemüller, J.-R. Duann, T. J. Sejnowski, and S. Makeig. Unraveling spatio-temporal dynamics in fMRI recordings using complex ICA. 5th International Conference on Independent Component Analysis and Blind Signal Separation, pages 1103-1110 , Granada, Spain, September 2004.
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J. Anemüller, T. J. Sejnowski, and S. Makeig. Reliable Measurement of Cortical Flow Patterns using Complex Independent Component Analysis of Electroencephalographic Signals. 5th International Conference on Independent Component Analysis and Blind Signal Separation, pages 1009-1016, Granada, Spain, September 2004.
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J. Anemüller, T. J. Sejnowski, and S. Makeig. Complex independent component analysis of frequency-domain electroencephalographic data. Neural Networks, 16:1311-1323, 2003.
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J. Anemüller, T. J. Sejnowski, and S. Makeig. Complex spectral-domain independent component analysis of electroencephalographic data. In Proceedings of the fourth international workshop on independent component analysis and blind signal separation, pages 47-52, Nara, Japan, 2003.
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J. Anemüller and B. Kollmeier. Adaptive separation of acoustic sources for anechoic conditions: A constrained frequency domain approach. Speech Communication, 39(1-2):79-95, Jan 2003.
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J. Anemüller. Across-Frequency Processing in Convolutive Blind Source Separation. PhD thesis, Dept. of Physics, University of Oldenburg, Oldenburg, Germany, 2001.
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G. Jongen, J. Anemüller, D. Bollé, A. C. C. Coolen, and C. Pérez-Vicente. Coupled dynamics of fast spins and slow exchange interactions in the xy spin glass. Journal of Physics A: Mathematical and General, 34(19):3957-3984, 2001.
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Jörn Anemüller and Birger Kollmeier. Amplitude modulation decorrelation for convolutive blind source separation. In Petteri Pajunen and Juha Karhunen, editors, Proceedings of the second international workshop on independent component analysis and blind signal separation, pages 215-220, Helsinki, Finland, 2000.
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Jörn Anemüller. Correlated modulation: A criterion for blind source separation. In Joint meeting of the Acoustical Society of America and the European Acoustics Association, Berlin, Germany, 1999. 4 pages on CD-ROM proceedings.

Jörn Anemüller and Tino Gramß. A neural network for sound source separation. In Torsten Dau, Volker Hohmann, and Birger Kollmeier, editors, Psychophysics, Physiology and Models of Hearing, pages 255-258, 1999.

Jörn Anemüller and Tino Gramß. On-line blind separation of moving sound sources. In J. F. Cardoso, Ch. Jutten, and Ph. Loubaton, editors, Proceedings of the first international workshop on independent component analysis and blind signal separation, pages 331-334, Aussois, France, 1999.
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G. Jongen, J. Anemüller, D. Bollé, and A. C. C. Coolen. Networks of fast oscillators with slow dynamic couplings. In A. Gervois, M. Gingold, and D. Iagolnitzer, editors, StatPhys 20, page 12, Paris, July 20-24 1998. Springer.

Jörn Anemüller. Coupled synaptic and neuronal dynamics for oscillator networks. Master's thesis, Department of Mathematics, King's College London, London, UK, September 9 1996.
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