{"author":[{"first_name":"Michael","last_name":"Guenther","full_name":"Guenther, Michael"},{"last_name":"Afifi","id":"65718","full_name":"Afifi, Haitham","first_name":"Haitham"},{"full_name":"Brendel, Andreas","last_name":"Brendel","first_name":"Andreas"},{"first_name":"Holger","full_name":"Karl, Holger","id":"126","last_name":"Karl"},{"first_name":"Walter","last_name":"Kellermann","full_name":"Kellermann, Walter"}],"abstract":[{"text":"By distributing the computational load over the nodes of a Wireless Acoustic Sensor Network (WASN), the real-time capability of the TRINICON (TRIple-N-Independent component analysis for CONvolutive mixtures) framework for Blind Source Separation (BSS) can be ensured, even if the individual network nodes are not powerful enough to run TRINICON in real-time by themselves. To optimally utilize the limited computing power and data rate in WASNs, the MARVELO (Multicast-Aware Routing for Virtual network Embedding with Loops in Overlays) framework is expanded for use with TRINICON, while a feature-based selection scheme is proposed to exploit the most beneficial parts of the input signal for adapting the demixing system. The simulation results of realistic scenarios show only a minor degradation of the separation performance even in heavily resource-limited situations.","lang":"eng"}],"status":"public","project":[{"_id":"27","name":"Akustische Sensornetzwerke - Teilprojekt "},{"name":"Akustische Sensornetzwerke - Teilprojekt \"Verteilte akustische Signalverarbeitung über funkbasierte Sensornetzwerke","_id":"27"}],"year":"2019","place":"New Paltz, USA","user_id":"65718","citation":{"bibtex":"@inproceedings{Guenther_Afifi_Brendel_Karl_Kellermann_2019, place={New Paltz, USA}, title={Sparse Adaptation of Distributed Blind Source Separation in Acoustic Sensor Networks}, booktitle={2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA) (WASPAA 2019)}, author={Guenther, Michael and Afifi, Haitham and Brendel, Andreas and Karl, Holger and Kellermann, Walter}, year={2019} }","short":"M. Guenther, H. Afifi, A. Brendel, H. Karl, W. Kellermann, in: 2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA) (WASPAA 2019), New Paltz, USA, 2019.","chicago":"Guenther, Michael, Haitham Afifi, Andreas Brendel, Holger Karl, and Walter Kellermann. “Sparse Adaptation of Distributed Blind Source Separation in Acoustic Sensor Networks.” In <i>2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA) (WASPAA 2019)</i>. New Paltz, USA, 2019.","ieee":"M. Guenther, H. Afifi, A. Brendel, H. Karl, and W. Kellermann, “Sparse Adaptation of Distributed Blind Source Separation in Acoustic Sensor Networks,” in <i>2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA) (WASPAA 2019)</i>, 2019.","ama":"Guenther M, Afifi H, Brendel A, Karl H, Kellermann W. Sparse Adaptation of Distributed Blind Source Separation in Acoustic Sensor Networks. In: <i>2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA) (WASPAA 2019)</i>. New Paltz, USA; 2019.","mla":"Guenther, Michael, et al. “Sparse Adaptation of Distributed Blind Source Separation in Acoustic Sensor Networks.” <i>2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA) (WASPAA 2019)</i>, 2019.","apa":"Guenther, M., Afifi, H., Brendel, A., Karl, H., &#38; Kellermann, W. (2019). Sparse Adaptation of Distributed Blind Source Separation in Acoustic Sensor Networks. In <i>2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA) (WASPAA 2019)</i>. New Paltz, USA."},"date_created":"2019-07-24T07:25:01Z","title":"Sparse Adaptation of Distributed Blind Source Separation in Acoustic Sensor Networks","_id":"12880","department":[{"_id":"75"}],"language":[{"iso":"eng"}],"date_updated":"2022-01-06T06:51:22Z","type":"conference","publication":"2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA) (WASPAA 2019)"}